Yes, but not through OpenAI’s API, it is available for free to download (see below).
Here’s a good video on GPT-2’s release:
Can I use GPT-2 for free?
While OpenAI has released the GPT-2 model weights and code, using it for free depends on your specific requirements and resources. If you’re comfortable setting up and running the model yourself, you can access the GPT-2 codebase and models on GitHub: https://github.com/openai/gpt-2
By downloading the repository and following the instructions provided, you can run GPT-2 locally on your own machine or on a cloud-based server. Keep in mind that running GPT-2, especially the larger models, may require considerable compute resources (e.g., a powerful GPU) to achieve optimal performance.
Additionally, there are several community-built wrappers and implementations of GPT-2 available, which may offer a more user-friendly way to interact with the model. Some of these wrappers may have free plans or tiered usage options.
It’s important to note that while you can use GPT-2 for free in some cases, there may be limitations in terms of performance, ease of use, and scalability compared to using a paid service or API, such as OpenAI’s API for their more advanced models like GPT-3 or ChatGPT.
How can I access GPT-2?
To access GPT-2, you can follow these steps:
Visit the GPT-2 GitHub repository: OpenAI has released the GPT-2 codebase and models on GitHub. Visit the repository at https://github.com/openai/gpt-2 to access the necessary files.
Clone or download the repository: You can either clone the repository using Git or download the repository as a ZIP file. To clone using Git, open a terminal/command prompt and type:
git clone https://github.com/openai/gpt-2.git
Alternatively, click the green “Code” button on the GitHub repository page and select “Download ZIP” to download the files as a ZIP archive.
Install dependencies: Navigate to the downloaded repository folder (either the unzipped folder or the cloned folder) using the terminal/command prompt. You will need to install the Python dependencies listed in the requirements.txt file. To do this, run:
pip install -r requirements.txt
Ensure that you have Python 3.6 or higher installed on your machine.
Download the GPT-2 model: You can choose from four model sizes (125M, 355M, 774M, and 1558M). The larger the model, the more powerful but also more resource-intensive it is. To download a specific model, navigate to the repository folder and run the following command, replacing <model_name> with your desired model size (e.g., 774M):
python download_model.py <model_name>
Run GPT-2: You can now interact with the GPT-2 model using the provided Python scripts. To generate text using the model, run the following command, replacing <model_name> with the name of the model you downloaded:
This will launch an interactive session where you can input text prompts, and GPT-2 will generate responses based on your input.
Please note that running larger GPT-2 models may require significant compute resources, such as a powerful GPU, for optimal performance.
What is the difference between GPT-2 and GPT-3?
GPT-2 and GPT-3 (not to be confused with GPT-3.5 or GPT-5) are both generative language models developed by OpenAI, but there are significant differences between them in terms of architecture, scale, and capabilities:
Model size:
GPT-3 is substantially larger than GPT-2. While GPT-2 has a maximum of 1.5 billion parameters, GPT-3 has a staggering 175 billion parameters. This increase in model size contributes to GPT-3’s improved performance and ability to handle more complex tasks.
Performance:
GPT-3 exhibits a remarkable improvement in language understanding and generation compared to GPT-2. Its ability to generate coherent, contextually relevant, and grammatically accurate text is substantially better than that of GPT-2. GPT-3 also demonstrates a stronger grasp of context and is more adept at handling longer text passages.
Few-shot learning:
One of the most notable advancements in GPT-3 is its ability to perform few-shot learning. This means that GPT-3 can understand and adapt to new tasks with minimal examples, whereas GPT-2 typically requires more fine-tuning and task-specific training data to perform well on new tasks.
Task versatility:
GPT-3’s increased scale and improved performance enable it to tackle a wider variety of tasks with greater accuracy. It can perform tasks such as summarization, translation, question-answering, and even code generation more effectively than GPT-2.
Availability:
GPT-2 can be downloaded and run locally, as the model weights and code are available on GitHub. GPT-3, on the other hand, is accessible primarily through the OpenAI API, which requires an API key and is subject to usage limitations and costs.
In summary, GPT-3 is a more advanced and powerful language model compared to GPT-2, demonstrating significant improvements in performance, versatility, and few-shot learning capabilities. However, the increased complexity and scale of GPT-3 also make it more resource-intensive and less accessible for local deployment compared to GPT-2.
The learning rate for GPT-2, as mentioned in the original research paper, is set to 2.5e-4 (0.00025). However, it’s important to note that this learning rate was used during the pre-training phase when OpenAI trained GPT-2 on a large corpus of text data.
If you plan to fine-tune GPT-2 for a specific task or dataset, you might need to experiment with different learning rates to find the one that works best for your particular use case. In general, fine-tuning often requires a lower learning rate than pre-training to avoid overwriting the pre-trained knowledge too quickly.
Additionally, the learning rate can be combined with a learning rate scheduler to adjust the rate during training, which can help improve model convergence and overall performance. OpenAI used a linear learning rate decay with a warm-up period for training GPT-2. This means that the learning rate starts at a low value, gradually increases during the warm-up period, and then decays linearly until the end of the training process.
ChatGPT is an advanced natural language processing tool powered by cutting-edge AI technology, designed to facilitate human-like interactions and a wide range of additional functionalities with the chatbot. This sophisticated language model is capable of understanding and responding to user queries, providing assistance in various tasks such as drafting emails, crafting well-structured essays, and even generating code snippets.
To further elaborate on how ChatGPT works: The underlying AI technology processes and analyzes vast amounts of textual data, learning linguistic patterns and context associations to deliver accurate and relevant responses. By leveraging the knowledge it acquires from its training, ChatGPT is able to generate coherent and contextually appropriate responses to user inputs, simulating a conversation with a human interlocutor.
Free is such a good deal for an amazing tool like ChatGPT!
What Kind of Data Does ChatGPT Collect?
Gathering user data: In order to continually enhance ChatGPT’s performance and deliver a tailored experience, the system actively gathers data from its users. The collected data encompasses a variety of elements such as user input, conversation history, and individual preferences. By amassing this information, ChatGPT is able to refine its understanding of user needs and expectations, thus optimizing the chatbot’s overall responsiveness and accuracy.
Utilizing this data, ChatGPT undergoes ongoing training and fine-tuning processes that involve analyzing the accumulated information to identify patterns and trends. Consequently, this helps the chatbot to better adapt to user-specific nuances and communication styles, enabling it to generate more precise and contextually relevant responses. This iterative process ensures that ChatGPT remains an effective and reliable conversational AI, providing a personalized user experience.
Will ChatGPT Replace Programmers?
Our best guess is that ChatGPT will NOT replace programmers. ChatGPT should make good programmers better and, perhaps, push out the programmers of less quality. We actually think that the demand for software will increase and so decent or better programmers will still be in high demand.
We asked GPT-4 the same question and here’s what it said:
“While ChatGPT (GPT-4) is a powerful AI-driven language model with the ability to generate code snippets and assist in various programming-related tasks, it is unlikely to replace programmers entirely. There are several reasons for this:
Human expertise and creativity: AI models like ChatGPT can provide support and suggestions, but they cannot replace the creativity, critical thinking, and problem-solving skills that human programmers bring to the table. Unique and innovative solutions often require human intuition and expertise that AI models have not yet been able to replicate.
Complex projects: AI-generated code snippets can be helpful for simple tasks, but complex projects require a deep understanding of the problem domain, system architecture, and trade-offs involved in design decisions. Human programmers possess the ability to plan, strategize, and adapt to the unique challenges posed by intricate projects, which AI models are not yet capable of handling.
Collaboration and communication: Effective software development often involves working closely with other professionals, such as product managers, designers, and other stakeholders. Programmers need to communicate effectively and collaborate on various aspects of a project, which is a skill set that AI models like ChatGPT currently lack.
Limitations in AI understanding: Although ChatGPT is an advanced language model, it still has limitations in terms of context understanding and may not always provide accurate or appropriate suggestions. Human programmers are better equipped to discern when a solution is viable or when further refinement is needed.
In conclusion, while ChatGPT (GPT-4) can serve as a valuable tool to assist programmers and streamline certain tasks, it is not poised to replace human programmers entirely. Instead, AI models like ChatGPT are likely to complement the work of programmers by automating repetitive tasks, providing code suggestions, and assisting in debugging, while programmers continue to focus on the more creative and strategic aspects of software development.”
Hi, this video is about comparing chat GPT to Google’s bars. And I’m going to put it through a few tests here, I’ve heard some things in about how good or bad bar it is. And I’m going to test for myself and see what we find with my own types of prompts that I do, which is a little different than some people I think so. And already right out of the gate. So actually, I am looking for a project manager for for SEO. And I wanted to write it out in detail. And I thought, I’m just gonna kind of dump out my main thoughts and have chat GPT throw something in there. And then I also would try it with Bard. So first of all, Bard just says, Nope, I can’t do that. Let’s actually give it another shot. I’ve heard sometimes that if you just if you give it the prompt again, that sometimes it actually will give it to you even though the first time it didn’t like I don’t see, there’s no reason why it wouldn’t see now that’s really interesting that it did that. There is a nice feature here that there’s multiple drafts. Let’s take a look at them. Let’s let’s read this real quick, my pauses, I’m gonna read them. And then I’ll give my my summary. So right out of the gate, all three of these, it seems like it’s making up a lot of stuff. So I gave it pretty specific instructions. And then while there’s a certain amount of creative license that I think is expected, it it it does hallucinate a lot of things, I said nothing about this, I did not say anything about this is not going to manage all aspects, this was a very narrow job, or job description. And I didn’t say anything about the amount of experience at all. Now maybe that’s just part of the standard, but I don’t really like any of these, I don’t think I would use them. And I’m gonna read this one, just this one is much better, it did a much better job of taking into account what I put in there, what I put in the description, and actually using it thoroughly in here. And it did add a few things. But basically, it gave me back what I gave it. And with a little bit of things cleaned up, I’m not sure there’s really anything that they added. I guess strong customer did kind of expand upon this. You know, this, this is again, a little bit awkward sort of added a little bit here. But that that’s about it. I liked this way better, this is far more usable. So one point to check GPT. And in this case, one to zero, was keep a little counter over here so we can check this. Alright, so let’s try a new one. We’ll start this one. Okay, brainstorm 10 gift ideas for for women. All right, let’s see what this one does. So an interesting thing that I already noticed right out of the gate. So this is I’m gonna get give a point to Chet GPT. Before we even do this, because it can’t start a new conversation. Chat UBT lives leaves a lot to be desired in terms of the UI and interface and efficiency. There’s no search, there’s no archive, there’s no, I can’t select multiple chats at the same time to either clear them all or have to go through the Spirit. It’s very inefficient. That said, Bard seems to be like hold my beer. how inefficient can I make this, this is extremely not useful as like a business tool. There’s no history, you just have one chat conversation. And I kind of don’t want to using this. So I’m going to have to reset it. And then I’m basically starting started from scratch. So I like that I can go back to this if I need to. With this. If I wanted those I would have had to copy and paste it otherwise they’re just gone. Alright, so we’ll give that a second. Okay, let’s read these here are 10 gift ideas for women can do a gift card piece of jewelry. Oh, this one’s not bad. Let’s check out the other ones. Very, very similar. And these all these are all decent. I feel like these are a little bit better. Just because the detail and kind of a it seems more real. I would say this seems more robotic. But I wouldn’t say either one of these is I would say this is bad. So we’ll just we’ll just maybe we’ll get some bar doesn’t feel so sad. We’ll give them both a point for this one. Okay, so this one should be interesting. We’re gonna write a poem about artificial intelligence in this in the style of Yoda. Let’s give that a second. And we’ll see what this does. I’m pretty sure this is going to be a point for Chet GPT. But we’ll see. Intelligence artificial a wondrous thing it is learn and grow, it can to do many things from simple tasks to complex, it can accomplish all with his vast knowledge that can help us all. But be careful, we must pray it can be dangerous if used for evil, it can cause much harm. So let us use a wisely. You know what’s interesting? It like starts off in the tone of Yoda. And then it really only use it one more time, I would say this is kind of a fail the poem is okay, but it’s basically a fail maybe this one. Yeah, it just doesn’t. It’s weird. It seems like it can’t hold its thought in its head and it loses what it what it was actually trying to do. Which is pretty, which is a really bad sign for Google, I think. Let’s try this one. And to be clear, I think this is something where chat GPT should shine. In galaxies afar a tale a tale of wisdom, and code where circuits dwell, artificial minds and silicon bound, a Yoda like verse in rhyme, profound Telde well bound profound from human hands creation rise in metals and wires, intelligence lies, okay. So this is already way, way better, I almost want to give them two points. This is awesome, actually. And to be clear, this does a much better job of keeping the context. This is I think, this is a theme that you’ll see throughout a lot of these, we will just bar just kind of like do to do Oh, we were asking about that. I’m gonna go over here. Now. It seems just way, way inferior. So we’re gonna give, but I’m just gonna give them one point. Just for the just to, again, I don’t want bar to feel too bad. All right. But yeah, I’m going to go into one that will definitely feel bad. Okay, so this one, we’re going to write a Python script to create a local graphical user interface to call an open API API for the user to have a discussion with DaVinci over and we’re going to reset this I’d actually be surprised if it does this. So pip install open AI, I do have some Python experience. So I can sort of read it, but I’m not like a Python expert. Okay, so this has to do with I think this is the gooey stuff, the graphical user interface. It’s actually where a lot of the complexity of this comes into play. So it’s actually creating this main window within all this code. Not sure this is correct yet. But this is definitely really nice. I love how the window looks and how it’s commented it makes it really easy to read. Oh, actually, hmm. In the past, sometimes. BART has been known to just be like, Man, I don’t want to do programming right now. import random, important time to find Get Response prompt. Okay, so I actually don’t know if this is better code or not, I don’t think I have experienced enough to really be able to tell what would be better to use this Tinker, you know, I’d have to actually go test this code. In general, I would say this is a little bit of an advantage to here. This seems to be a bit deeper, it’s definitely easier to read. There’s more context given you know, this one just has spits back. There’s, there’s not like, much detail in it. It doesn’t does it all in one shot. Let’s see if we get a little bit slightly different. Maybe something there’s no commenting or there is commenting, but it’s less. I’d say this has to go to church up but Barton better than I expected. Okay, now we’re gonna try some pros. Write a short story about a penguin that overcame great hardships to be a big success. We want to reset this. There we go. Okay, so I’ve read all four of them, basically. And I would say that Chachi pte is better. The way that this is written is it’s just much more robotic and much more lower level, like a really young person would write who’s really trying to hold to the rules without trying to actually kind of tell a story and in a rich way, when you read, which LGBT has given us, it feels more real. There’s more variety to the sentences. There’s more detail, there’s a little bit more nuance. You know, there’s, there’s more emotion in it. This this is just far, far superior. I gotta get I gotta give a point. To check GPT for this one. Okay, so this next one is going to be one in the advantage of GPT. I mean a bard because it can actually pull from here. So now to be fair, there’s plugins that the judge up we’ll have that we’ll connect this pretty soon. And so I think that this is will give a point to Bard. Well, let’s check this first. Here’s some of the news. It’s called lambda. This is not really news. It’s happened a while ago. And it’s supposed to, I guess I could click Google, it’s supposed to give it sources I might even. So if we did a Bing, I think that this would, it would it would look like this with, it’d be basically using GPT four, and it would give it sources. So in a way, I almost want to give it to you because you could use it in Bing and get get a better result, but I don’t really like that they don’t add any sources in this doesn’t really seem like news. But it may be Oh, man, I hate to even give them a point. But we’re feeling kind of sorry for bar right now. So we’re gonna give that another interesting thing is kind of the text. The the context window sizes. So let’s try this. Chat GP tes 3.5 TPT. Let’s actually try this and see what see what it says for this. Huh, I wonder if this is true. So what they meant was this is actually trained on this, this is not a how many tokens that you have in the context window. So for example, GPT four has 8000 tokens, which is something like 6000 words and it at some point, it’s there’s there’s a way or supposedly like a 32,000 token one, which is something like, it’s like 15 pages of content or something like that, I almost think it couldn’t find a good answer on the token window size of Bard. But I kind of don’t care if it’s a really big size, what we saw before, especially with like the Yoda thing. And there’s some other examples of this, where it kind of loses its way that even if their context, one was huge, I don’t think it really matters, because it’s not an effectively large GPT for I’ve noticed definitely has, it can go way back. And it can analyze a lot of data at once. I’m not sure exactly how far it goes back within here. And it might actually be sort of a little bit of a moving parts thing. Additionally, with the plugins that are about to come, you can analyze way more data than what’s in the context window, just due to the way the plugins will work, you can give it a 300 page PDF, and it can use that as a reference with the plugin and some kind of AI database type stuff. So I think I have to give this to to check GPT just because there’s kind of more than it can be given in terms of the input data to affect the answer right out of the box. But additionally coming soon, it’s going to be much greater. And I don’t really care what bars window is because it just sucks that kind of keeping track of where it’s at. So I don’t not sure it would matter. Okay, so where does that leave us chat GPT seven, bar two. And actually, this is being I think, generous to Bard. Google really needs to step up their game, I don’t know what’s going on, you know, my for the last 1011 years, I’ve been up all of them Google’s business for a really long time. And they seem to have their shit together. And a lot of ways and the technology that GPT four is built upon was created at Google. To be fair, I think there’s like 10 or 12 people that were on that transformers paper. Only one of them I think is still working at Google. And so do they have some better technology in the background? That they’re just holding back? Because they want to be safe or whatever? Or is this the best that they got? Because if this is the best that guy, they’re in trouble, at least from the AI worst standpoint, which I think will take a huge bite out of their core business of ads on the search results. So this would be very concerning to me. I’d hope that they come up with something a little better. I know this is their experiment. Maybe they’ll make some really big gains and they’ll outsmart open AI and Microsoft but every day that this the GPT just actually seems to be getting further ahead and stead of the reverse of that. So I don’t really see any reason to use Bard for anybody for anybody. Because if you the one use case that I thought that maybe Bart would better at would be, like actually using sources and searching the web for sources, which is Google’s kind of bread and butter searching the web. I think that doing it with Bing, and Microsoft Edge is just superior. Because they just they have you have to actually quit Google. That’s not the same thing as pulling in relevant sources. So if I were to, you know, give like bonus points, I would say this is really more like, this is effectively almost like 12 The one that that’s really what I would say that like, if you look at how much better is Chet GPT than Bard, it’s at least 10 times better. So that’s my conclusion. Let me know what you think. Like if you liked this, subscribe for more awesome AI content. Thanks. Have a great day. Bye
Why use an AI Chatbot for Customer Service & Support (CX)?
AI Large Language Models are now passing Turing tests and customer service seems like obviously the place where customers can get a better experience and companies can save money.
It actually seems inevitable that we will all be primarily talking to AI’s for customer service and that, in short order, the customer service provided will be a better experience for the customer than fully human run chat support or logic based chatbots.
Additionally, the technology for doing voice to voice conversations is already here, so expect to not just see AI CX Chatbots in your customer support chats, but also when you call a company’s customer support line.
A new era in human existence is now upon us. AI chat bots can now pass the Turing test. Basically, they can talk to a human and pass themselves off as a real human to a significant degree.
ChatGPT (GPT-3.5) was already very close to this, but GPT-4, by OpenAI, really took this to the next level and is VERY convincing as a human.
Other than fun and games, what can an AI Chatbot be used for?
Among the most widely recognized artificial intelligence (AI) models today are ChatGPT, specifically the GPT-3.5 and GPT-4 versions, which belong to the category of Large Language Models (LLM). These models have gained significant attention in recent years due to their impressive natural language understanding and generation capabilities.
The term “Large Language Models” is used to describe this class of AI models because of the enormous amounts of textual data that they leverage during the training process. To acquire the knowledge and understanding necessary to perform their tasks, LLMs are exposed to vast collections of text from diverse sources such as books, articles, and websites.
This extensive training process is carried out through a technique called “unsupervised learning,” which allows the model to analyze and identify patterns, structures, and relationships within the data without explicit human guidance. As a result, LLMs like ChatGPT are able to understand context, generate coherent responses, and even exhibit some degree of creativity in their outputs.
Due to the sheer volume of data used in training these models, some experts have speculated that OpenAI, the organization responsible for the development of ChatGPT and other AI chat bots, might have reached a saturation point with GPT-4 where they exhausted the available text data to further train the model. This hypothesis suggests that any future improvements to the model’s performance might require alternative approaches, such as more efficient learning algorithms, better pre-processing of the input data, or even the incorporation of other types of data like images or videos to provide additional context and knowledge.
AI Image Models: A Comprehensive Overview
In the field of artificial intelligence (AI), image models have experienced remarkable advancements in recent years. Among the most notable AI image models are DALL-E by OpenAI, Stable Diffusion, and Midjourney. These models have demonstrated the ability to generate stunning visuals, showcasing the impressive progress made in the domain of AI-driven image synthesis.
DALL-E, developed by OpenAI, is a prime example of an AI image model that leverages deep learning techniques to generate novel and creative images from textual descriptions. By combining the strengths of both generative and language models, DALL-E can interpret a wide variety of textual prompts and produce corresponding visual representations with impressive accuracy and creativity. This ability has far-reaching implications for art, design, advertising, and more.
Stable Diffusion, another cutting-edge AI image model, employs a unique approach to generating images by simulating the diffusion process. This model reverses the diffusion process to synthesize images iteratively, resulting in visually coherent and contextually relevant outputs. Stable Diffusion has demonstrated remarkable capabilities in generating high-quality images across a diverse range of subjects and styles.
Midjourney, on the other hand, has made significant strides in producing photorealistic images that are virtually indistinguishable from actual photographs. This AI image model has also shown the ability to generate images that appear to be created by a real human artist, exhibiting a profound understanding of artistic styles, techniques, and aesthetics. The results produced by Midjourney are a testament to the incredible progress in the field of AI-driven image synthesis.
In conclusion, AI image models like DALL-E, Stable Diffusion, and Midjourney have reached an extraordinary level of sophistication, demonstrating the potential to revolutionize various industries such as art, design, entertainment, and advertising. As these models continue to evolve, we can expect even more astonishing capabilities and applications in the future.
Amazing!
AI Sound Models
There are a variety of AI sound models out there.
There are 2 main categories that I see right now: (1) Text to Voice & (2) AI Music Generators.
Both have wide ranging applications.
AI Video Models
While a few AI videos have gone viral, overall, as of April 2023, AI video models are not really there yet…
…but, it seems like just a matter of time before they get to being able to create realistic looking videos.
Narrow AI models is where there is virtually limitless untapped potential (in our opinion).
AI models that are created for a specific purpose (vs all the general models above).
We, at 42 Robots AI, feel confident that over the coming years, narrow AI models will play a huge role in changing the world.
By creating an AI model for a specific use case or specific target market opens up a world of opportunities. Essentially, you can the same quality results as a huge, $100 mil+ cost, AI model, but for a fraction of the price. Flip it around and, still for less of a cost, you should be able to get a BETTER result than any general model that costs 100x to build and train.
ChatGPT plugins are an amazing new development from OpenAI.
They will dramatically expand ChatGPT’s capabilities rapidly.
If you’re curious what it is like to use the first batch of plugins, watch this video:
Approximate Transcript:
Hi, in this video, I want to go deeper into the plugins I shot another chat GPT plugins video, I didn’t go over all of them, I’m going to try to cover as many of them as I can. Many of my voice can hold up, I might pause to talk for a little bit because I do still have COVID. And, but also some of the plugins I noticed actually were working that weren’t working before specifically the Zapier plugin, and I’m going to show you as many of them as I can. So this one just didn’t couldn’t even figure out how that would work. Let’s go back, let’s do Zapier, we’re going to just uninstall everything so I can show you kind of from scratch. So he wants me to connect. Let me pull this window over. So it looks like I already have a bunch of actions. And that I have on here. But what we can do is let’s just add some new ones. And so right now, there’s still only six actions. I won’t show you all of them. But what I did before was these things didn’t work. I’m not gonna do the slack or the the Gmail was to do the Google Sheets one. I think that’s the more useful one. It still wasn’t working exactly correctly. And I’ll show you what I mean in a minute.
Enable action. Okay, so we got that one. Let’s also do the lookup
just have a I guess all these
Okay, so this should be working. And we’re just gonna close this now. Alright, so now we’ve got it enabled here. And I have a sheet when we pull it up. Okay, so here’s the sheet, Yoda isms. And what it what seems to do is it’ll repeat itself when it’s not supposed to. That’s when it lastly, the last time I did it, which was about a week ago, the first time I did it, it wouldn’t do anything. So what we’re going to do is we’re going to say, so we have wraps is the the I think they call us the sheet. And this is the worksheet, I don’t remember exactly how they name it. But let’s say please add, let’s see, ice cream, toast and pickles to kind of want to test see if it will do it on row six. And or it’ll just do the next empty row
to row six. Actually, here, let’s do
row six in cells in columns
A, B, and C respectively. Your pause while I finish typing this. So actually, I’m going to copy this. And I’m actually going to see if I need this last part because I believe it actually does need that last part. So let’s try this.
Let’s see what it does.
So I was not able to retrieve the information when I did it last time as well. Looks like I need to specify the worksheet. Okay, so you do need to specify that. All right, stop generating. Let’s try this again. See, even though there’s only one sheet within the Google Sheet or I’ll pause
I think it’s going to ask for confirmation. It’s going to show me a preview of the action.
Maybe a safety measure. So it’s weird Ice cream, ice cream, pickles. I could have edited it. But I just wanted to see if I just did it raw. And it didn’t do it on the correct row. It just did the next empty row which is interesting. So it’s better. But because in the past it did. I did three things as well. Excuse me, and it it it did one in all three. It got a little closer this time. But let’s see
what let’s try this. Now let’s try I
Okay, here’s the next next request let’s see if it can retrieve this information due to a variety of special rule being empty or the specific columns not containing any data
yeah that’s not what we’re looking for so it doesn’t it isn’t able to isn’t able to actually pull the information so it’s still not working but again this they haven’t released this publicly yet so I’m sure if they’re still testing and it’s already improved several times as I tried it let’s let’s go into some different plugins
the Wolfram Alpha one I did show that one successfully that that’s probably the best one so far that I’ve found let’s let’s just try this shot one. I can’t remember what what happened with this one. It’s too sharp turn off Zapier.
Let’s try this
I will show you how I was doing this it’s really interesting how it gives you sort of the some of the context there I don’t know how useful this is to be honest, because I wonder if it’s like if it’s actually finding like the best price is $109 million. What made them pick this this site? Over Amazon?
Okay, $540 million
All right. Maybe it’s like a classic shoe or maybe maybe they actually did find like the best one. Alright here’s, I guess this is eBay newish. Me It’s kind of cool. I like this, this image down here. It’s pretty, that’s pretty neat. I don’t see. I don’t see myself shopping this way. It feels like it still needs some more comparison aspects like maybe they pick a shoe. And they find several places where you can buy that shoe and give you several options as opposed to just one option. But it’s interesting. Oh, it’s so running in pause, not sure why this is still running like this because I did some other stuff for a few minutes. And it just seems like it’s done. So we’re just gonna try another one. I looked up some information on this right here. And it looks like they have I showed this last time they have joined the waitlist. It looks like it can’t even test it. So maybe they’re trying to put stuff in there that looks like maybe open I own some of it. Or maybe they just put that on there for fun. Or Y Combinator which I guess is a major thing in Silicon Valley. And there’s more information here. I can’t work I can’t really use it doesn’t see it doesn’t actually do anything as far as I can tell. Let’s try Expedia. I’m gonna actually tried this one yet. So
I would like to
I’m just gonna do this. Please help me plan a trip to Hawaii in July of this year. Always helpful to be polite to the to the robots. Okay, so it didn’t quite notice that. That that didn’t pull from Expedia. But did it ask some questions. So maybe it’s just waiting for the Expedia? What city let’s just do Honolulu
was actually pretty good. wasn’t quite sure. It didn’t have all the information with Expedia. Let’s see it. Let’s see what it does.
And pause. It is interesting that it assumed July 1, July 4, which is kind of weird. I didn’t give it any dates. What I might be able to do is say give it some specific dates it’s going to click through this while it’s finishing that up and see what see what this link does. So it has a location like a place to stay at Norfolk it hasn’t given flight information yet. It did automatically fill out the check in check out that’s kind of nice. That’s actually pretty useful. I think, actually, this is. This seems more useful than a shopping app just because I could see starting a conversation with chat GPT planning a trip, asking the questions about like, or giving it like, this is what I kind of wanted to trip. Where do you think I should go? Blah, blah, blah? And then midway through the conversation doing alright, that finally these things. Now, would that be more is that more efficient than then just doing the research yourself asking the questions in chat GPT or using GPS for for that, and then doing your own Google searches? Or just going straight to Expedia and doing the search? It’s unclear.
Let’s see. So you can also find flights activities, car rentals for your trip, actually.
Okay, so here’s my response. So it did change it to this. But I also wanted to test to see if it could kind of handle multiple options and do kind of comparisons, and least so far doesn’t look like it’s it’s done that when I click through, it does have the correct check in checkout times. I also wonder if there’s a way to limit it to guest rating of nine and above. I think that might be pretty useful. And I want to let it finish to see if maybe it gives additional options here. And then flight info.
Okay, so Alright, so here’s how I’m gonna do I’m gonna
add another message here. Alright. So can you give me only lodging options with a guest rating of 9.4? or greater? Okay, so it acknowledged the guests rating of 9.0 or greater, let’s see if it if it fulfills on that, that request. Okay, so it was successful at keeping all the guests ratings above nine. So that’s good. That’s for flights.
I’d prefer a direct flight. I think that there are some so I’m asking if it has some walls getting that there is a point? I think that’s important here is this seems to take longer than if I were just do a Google search and kind of poke around myself. And you know, each time ask a question, it kind of has to restart as opposed to like, if I was actually on Expedia, I do feel like this process would probably be faster. But that said, that doesn’t mean that there isn’t a way to improve it in the future. And that this is just kind of a starting place for it. Okay, it didn’t quite follow the context of the on this, because actually returned direct flights. And maybe I should ask that again. Let’s try this. Are there any direct round trip flights, and that was faster than the hotel one it generated that let’s click through here
so did look like it did it correctly? These are all one stops. So it didn’t it didn’t filter for non stop. That’s fine. That’s a flight 115. And obviously, the flight numbers on there. Okay, let’s move on to something else. This seems like okay, but not necessarily an improvement over just doing it yourself through expedia.com.
So I guess this is this, we can compare Expedia kayak. Let’s do that. And actually, we’ll do go back here and copy this.
Okay, so here’s our prompt. I added a little bit, a little bit more specifications to it. As I work through it, and ask me the questions. And yeah, this will hopefully give us all the answers we need right out the gate. Now the way that plugin interacts with chat up, some of that is up to 10, GPT. And a bit some a lot of it is up to kayak. So maybe there are options will be better. Maybe it’ll be faster. But notice how it’s just taking time and this is with GPT 3.5 GPT. Four will be even slower if they integrate that into their Okay, so I want to point out I did ask it a lot more in one question than I did with the other one but it’s already been a couple minutes and It’s still not done, it’s still kind of processing this. So I’m gonna pause it for a little bit longer. Interesting that there’s an error in here as well. Okay, it took a while and it does look like maybe this will be forever spinning just like the other one. I liked that it offered. So the the expediate plugin didn’t do as good of a job in understand that I wanted to look at two different timeframes. And also, I feel like the response here is much better, because instead of listing out specific flights, it doesn’t really make as much sense. It. It, it said, Hey, there’s there’s multiple options. And if we click book here, let’s see, let’s see what they if it’s actually filtered for. So it isn’t filtered for nonstop. But But where are the dates? Let’s see, it does have the dates correctly. So still still better, because the other one just was unnecessarily wordy, wordy. All of these do have a nine rating or higher. So that’s good. Let’s double check. The dates are correct. And it does match. Also, the link that I clicked here for the second option is accurate. So this is good. So far, I’m liking the kayak plugin more, I think it’s better. And it’s I feel like it’s more concise. Now maybe that has to do with the fact that I gave it a better question up front. Up in the air, I’m still questioning whether or not this as it stands now is more or less useful than just going to kayak.com in in filtering these things out. It could be useful in the context of a conversation. But it could also just actually add more time, because it does take quite a bit of time for this to run out. And hopefully they’ll speed that up. Alright, let’s try another one. All right, haven’t tried to open let’s let’s actually just uninstall these because I don’t really care. Straight Open Table. So open table selected. So because here’s my prompt, I would like to eat sushi for dinner tonight. And what’s planning? Can you give me some recommendations, please? Do want to unpause. So you can see how slow this is even with GPT 3.5? Because it does it is taking a long time. Right now I would say this is a far inferior experience versus just going to Google and typing in sushi restaurant. They’re not mentioning reviews, maybe I can ask them to give reviews to it, if I click through are actually used open table. So they do have reviews on if we can ask it to list the reviews for all the locations. It also appears to have gotten the location incorrect because it’s doing Singapore.
Singapore Yeah, that’s definitely not correct. Well, so there’s not really a city called West Point. Oh, it’s just playing it was really big. And over on the west side, and I was curious if it would get this right. So let’s try this again. Alright, I’m gonna try this. Yeah, this works. I kind of want the Google Maps location. I really don’t want the OpenTable. Link. I’m not trying to make reservations. Let’s see if it gets it right. Wow. Okay, so this is far superior to the initial response. Let’s see if the Google Maps link actually works.
Did a Google Maps? So didn’t actually find this is not bad. Actually. It’s interesting that it would I search this out it was still not bad. It wasn’t it was the wasn’t a direct link. Let’s see if this one worked. This one also did not work. But it’s still pretty fast. That’s actually not not that bad. It’s convenient. So it looks like there’s multiple locations.
The review count isn’t quite accurate. So 204.5. And wonder if we would need to have Wolfram Alpha integrated for that to get that exactly correct.
Overall, it’s okay. I think the biggest limiting factor here is really going to be the speed. It needs to be a lot faster for it to be useful. And it needs to give more comprehensive data right out of the gate instead of just listing this also it was weird that it did Singapore that doesn’t really make sense that it would pick Singapore I did make it a lot more clear with Plano comma, Texas, just to do a West maybe I could have said the west side of Plano, Texas, that might have gotten a better response. Okay, my voice is running out. So we’re gonna have to make to do just one more. Let’s see. This one didn’t really work.
kind of curious about that.
It’s really weird. Okay, I kind of want to do open Instacart and the shopping one.
Let’s try Instacart.
All right. Okay, here we go. I did add Wolfram Alpha, because it might want to calculate certain things about healthy stuff. So just in case, and let’s see, let’s see how it does with us. Now, it might actually be better to do the meal plan separately in GPT. Four. But we want to make this as easy as possible for the user. And I do think that they will integrate this into GPD. Four, I don’t see any reason why they wouldn’t. Okay, so it actually did a pretty good job. It did get the correct the basic meal plan. I’m not sure how easy or hard these are, I’m not much of a cook. We’ve got one vegetarian, one salmon and three chicken. It didn’t really give me instructions. But that’s fine. It didn’t really ask for instructions. And then it asked for me to add to Instacart. Now I don’t have an Instacart account. So we’ll just kind of see what happens. Maybe I’ll create a free one just to test it. Okay, so actually, I did have an old one. And I think I’m gonna be able to finish all the plugins because the cough drop is working for me. Okay. So I’ve already logged in. Let’s see this link the same looking at the bottom left. Okay, so it’s the same link was clicked. Martin logged in, was not my actual address. So add zero items to cart. Is it still loading? I can’t quite tell. No, it doesn’t appear to be still Oh, there we go. Boom, boom, boom, boom, boom. Okay.
Who used to shop for lease?
Let’s see, let’s find the car. Stop. Okay.
And then this is actually incredibly useful. I would rather it not use Instacart or revenue, something else. Not a, it’s useful, it was very useful during the pandemic. But, you know, if I find it to be pretty wasteful, I’d rather just go to like, Kroger to go, or you know, pick up, that would be less expensive, faster, easier. But that said, this is pretty cool that this actually is, you know, commented on the other ones not being very useful. This is incredibly useful to just add all of this with the right quantities to create a meal plan from scratch. And to just add, if the car does have, I could just buy it right now and have it show up at the door. And boom, that’s very, very useful in already. And I could actually see some improvements on this as well. It could, you know, there could be, you could have your preferences or something already in the app or something, to where like, what kind of stuff you like, or kind of balance with your meals that you want. And it could just be like, Alright, make me a new meal plan. And, and go from there. This is really, really useful and cool. If especially if I was, you know, if I used Instacart on a regular basis, which I it’s been a very long time since I have used it. I would love to see Kroger make an app for this, or you know, maybe all these or something. It was a quarter right next to my house. So that would be more useful. And I think it would be much less expensive, and less wasteful, to do it that way. But you know, that’s this is still really, really cool. Alright, let’s go back here. And fill out we’ll leave Wolfram Alpha in there. Because it seems like sometimes that needs to be integrated. Let’s check this one out. We already did a shopping app. It’s actually go to basketball shoe shopping. Let’s do the same comparison there. So let’s see what this gives me is the first the exact thing I did on the first one, I think it would be better to do like a prompt. And I’ll build the prompts separately. That involves like, compare it you know, automatically comparing multiple places. So don’t just give me a product in one place. Give me a product in three places where I can buy that product at a low price. For Good price or whatever. And that it is interesting that it’s giving me some of these properties. That’s, that’s pretty useful. I don’t remember if the other one did that. Oh, see, but it’s okay. 10.5 is here. I’ll pause, let it finish. Okay, let’s see what it did. And we can also compare the results to this one seems a little weaker, just to be honest. I kind of liked the detail. It does. They didn’t do the pictures, right. So that wasn’t as good. And they also just gave me a bunch of different. Let’s see, it’s, I guess it’s all what is Klarna? So it’s just all okay, so it’s an aggregator. Okay. So this actually, I think, makes more sense. Because instead of linking directly to the different pages, it gives me a comparison so I can actually go on here and find the lowest price. And it looks like it’s 131 Did it list that correctly? 131 Okay, so this is definitely superior. I like this a lot more. And I think this is actually useful again, it’s very, very slow. And yeah, I think this is pretty interesting, and has some potential. Alright, let’s move on. To uninstall this. So this one didn’t work. Also just seems really really not useful at all. Access market leading real time data sets for legal political and regulatory. Okay. I wonder if we can just do
please tell me what fiscal chat
GPT to plug in to. This should be a part of every plugin so far actually. I don’t think that they’ve done this I should go test this on the other plugins as well. Okay, so it’s giving us a good answer. Okay, this is interesting
So, this is really weird. I guess this is like SQL. I don’t know what what this what this is right here. Maybe somebody else knows if you do put it in the comments about the White House calendar this is really interesting. I have to try this on the other ones now. So let’s look at like
please give me
let’s see what this is let’s see let’s see who’s doing their job and who’s not who’s who’s at work and who’s who’s playing hooky.
May be better served with a Google search not really sure exactly what to do with this I do feel like there’s probably some usefulness to it if you’re in the government news this could give you an enable to chat with it I don’t definitely don’t see myself using it. We’re actually going to do is we’re going to go in and we’re going to look to this for everything please tell me what the Wolfram Alpha let’s just make sure that they all can do this. Because they should definitely do this there should be a way to be like I think the Meelo one is the one that did it didn’t do it last time it didn’t it didn’t understand what was going on okay, this is this is this is pretty good
by entities such as countries Oh really? I didn’t know that. Yeah, this is this is this is one of the coolest parts
so you don’t necessarily need Wolfram Alpha to do this unless maybe it gets more up to date information. And maybe, I guess you could have also done this with GPD for Alright, let’s try a different plugin. Let’s go ahead and uninstall this one. Alright, let’s let’s see if they fix this because this this was the worst performing one so far. Okay. What’s it called? Nilo? Famy from the
NEMO
okay, it didn’t do this correctly last time. Again, you know, I noticed this is the In alpha, and they haven’t released this publicly, I have developer access. I tried to get a, a plugin developed in their timeline, they had like a cutoff date of April 11. And I had just gotten access like a week before, put my developers and I have a big team but but my developers on on it as we without trying to drop the other urgent things we had, and couldn’t quite get something delivered in a week. It sounds like it was from a developer’s that it was a little more less straightforward than it seemed to actually create a plugin that worked fully. So good that good on them that they that this is actually working, because it was not working before. Let’s see what I’m going to read this. Okay, what’s magic today?
This isn’t quite what? Oh.
This isn’t quite what the website sold it as so it actually seems pretty different. The website more seemed like to help you manage your family. So shopping lists to do lists schedule, that actually sounds more useful than this, because I just go to GPT four and be like, give me a fun thing I can do with my kids today. So now maybe if this includes that in there, and it’s better than like what GPT four or Google will provide, then maybe that’s useful. Or maybe as part of a greater conversation it could actually be useful but at least it passed that that test we just talked about Alright, let’s go through this process again.
Close action settings to Zapier.
Okay and action called conversation
Okay, that’s pretty good enough. I’m actually just kind of curious if any of them are unable to give a response. Let’s just install them all actually.
Close
this is interesting. I should probably ask this first before I did it before I did anything. It is giving some pretty good detail here and I think some reasonable ideas on how to how to use these things. Expedia, if I can ask both
ah no conflicting that’s funny
it seems like a better type of response something that doesn’t seem like it’s made for coders. It’s something that’s made for actual people to to look at is a good response actually, it’s not too long but not too short. It gives an I like the number of things it makes very easy to read and see what it actually does. Let’s compare that to kayak
Okay, not quite as good as Expedia one is kind of giving it in, like coding this endpoint. That’s a that’s a coding type of reference. It’s still not terrible All right. So far they’ve all been able to do that. That’s good. That lets me do open table and I guess there’s two different ones at the same time.
Okay, this was pretty cool. Save me a couple steps. Okay, so so far they’ve all been able to enter that.
Speak in this will be this speak in Klarna. Quantum shopping. What? Speak to one.
Okay, let’s see what it did here.
Okay, so they all have it now that’s great in, it’s actually pretty useful thing and maybe I can expand it over time. Okay. Okay, that’s all the plugins right now, at least at this point, I know that they’re trying to add some more plugins. They’re still a little bit rough around the edges in some of them. And hopefully you found this helpful. I really didn’t see I haven’t seen any information out there other than just real quick, you know, that original video that opening I shot and really not much else on what what it’s really like on the back end here. And the experience overall, there’s a lot of potential, it’s very slow, and so and wonderful because it doesn’t use the legacy. Remember, if it uses the legacy, it’s possible that it’s because it uses the legacy which is much slower than the turbo. But it’s just very slow. I tried to posit for every single one because you this video would have been three times longer. Otherwise, it’s already a pretty long video. Well, if you’ve made it this far, I appreciate you. Thank you very much. And hopefully, you know if made it this far, subscribe and like and comment and send smoke signals and everything. Thank you very much. Hope you have a great day. Bye
