Man you are life saver.

Thank you for the updated!

thanks man

still not sure how to use

Great tip, thank you!

So what your saying is.. If I do this and place the entire program into a digital monster.... ...I can finally make a Digimon?

@@marshallcraft2819 😂😂😂

@@StefanoV827 If you give it the fact that it have to imporsonate agumon I think you can get pretty close

I need to make it remember previous messages. I can't understand how do I save every input and output and place it inside the message array. Can you please tell me or give me the source code for me

+1

@@vikram2105 Short answer: There are limited ways to do it, it's not straightforward. Long answer: I have been trying to figure this out myself for the last couple weeks. The simplest and most intuitive way to feed it information is: tell it the information in a prompt. Obviously, this isn't a real solution, because the size of individual messages is limited, overall memory of a conversation is limited, and keeping the bot up to date with the latest changes in a database would be a nightmare. ChatGPT has an API called Embeddings which can be used to feed training data. It also requires what's called a 'vector database', you can't simply use a SQL database or something similar. This involves breaking down a dataset into chunks creating an embedding vector for each chunk. The official ChatGPT docs have a tutuorial of sorts, which involves scraping data from a site and feeding the data into the ChatGPT Embeddings API platform.openai.com/docs/tutorials/web-qa-embeddings github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb The closest thing I've found to a real solution for using a constantly changing data source like a SQL database is a tool called Llama-Index. Per the docs: "LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data." Looks like it can integrate with tons of different sources, SQL databases, ElasticSearch, Notion, Obsidian, and lots more. Unfortunately it appears there's only a Python library currently. I'm keeping an eye on it for updates, or alternate solutions. llamahub.ai/ gpt-index.readthedocs.io/en/latest/

why dont you ask chat gpt itself? :P

For this you should fine tune gpt 3 models.

Exactly... I implemented this thing two weeks ago, but a way to train it to use only specific website and train it to answer questions certain way, to actually use my own data? Seems impossible at this point. They offer some payed services to do this, but there is no way you can tell if they aren't collecting your data and publishing them somewhere... unless you are developing it, you really can't customize it in any way. I mean, I wanted to train my own fuzzy logic model to create Beat Saber levels year ago, now with this, I'm thinking solution might be in reach, but turns out it's just barely out of it and seems it always will be... all this big talk about AI and yet, you cannot really do anything but ask chatbot about things on internet, or create images... Hopefuly I'm totally wrong in 2 weeks from now on :)

You just have to pay for a subscription I use it now

Yeah there's no waitlist. I purchased it and its great but not a huge difference between gpt 3.5 for me as a regular person.

@@vusiliyK pretty sure you still have to wait to be added to the list even if you pay.

@@brymstoner Exactly

I wouldn't beat Kyle up too much. Chat GPT is brand new and hot but he's got other things on his plate. I assume he released this snack to help us out with a quick overview and will almost certainly have a deeper dive at a later date. However, if you follow his channel you are probably competent enough to implement UI/UX via React, PHP, etc. Reference the docs and give it a shot!

Leave that to the channels that specialize in ChatGPT/AI architectures, this is a good primer as are all of Kyle's videos basically showcasing the tech to beginners and intermediate programmers who might be afraid of this new tech.

He doesn't have to give everything on your plate. He has guided us to how to use the API, and we are the ones who think of the real world use cases. I actually PREFER this type of content.

I agree- this tutorial was as useless as your average Canadian. It supplied nothing of use whatsoever.

or just be thankful for his effort of making videos.

I saw the Microsoft video and it was AMAZING

I'm guessing since MS can access files and read it on your behalf, it reads the content, and sends it to gpt, and using that, it returns some results

To be fair, ChatGPT isn't the AI itself. GPT3 is. ChatGPT is simply an integration of GPT3. Clickbaity? Yes, that's how most KZfaqrs survive. False/misleading? No. Edit: this comment is wrong. Leaving it up as a reminder of my shame

@@btat16 exactly lol

@@btat16 he still isn‘t building an AI. It doesn’t even matter if the AI is GPT-3 or if the AI is ChatGPT he is still just integrating an existing AI.

@@Simon-yf7fo Thought you'd say that. It boils down to how you define "build". When someone says "they built a website using Wix/WordPress/Webflow", did they "build" a site despite them not actually "building" the components of a website (the HTML, CSS, JSS, etc.)? The end result is a website, despite them using a service that handles the groundwork of the product. Edit: to clarify before the ackchuallies get me, I mean basic WordPress themes with only drag and drop as well as Webflow with its most basic functionalities

you're exactly right on that.

The message in the request parameter of the turbo interface is an array, which means that if you want it to remember the above, you can store the above information in the array

@@codeacme17 But most important is how much data you can put there? (I mean in message array

@@asivak The Chat GPT model has a 4092 token limit so whatever the size of the array it should be fine, but it will only take into account the n last messages depending on its token limit

Same problem, did you find any solution

I find the former to be incredibly useful. It isn't a thinking being but it parses like one. It also has a built-in broad perspective because no human being has ever been made aware of everything ever.

I think of ChatGPT the same way, and I would add that the value using it over the search engine is that it filters through all of the results for me and returns the most relevant information. Most of the time, anyways. Sometimes it's a waste of time for more complex queries. For simple and more direct queries, sometimes it even interprets the information and returns it in a usable form specific for my use case.

Using traditional search engines to look for a recipe is a perfect illustration of how chatGPT search is better. I don't want to have to wade through a keyword stuffed, ad rittled 1000 word essay on the history of porkchops just to find a recipe. But that's what it takes to rank on the first page of Google right now.

Other than that, ChatGPT explains things really well and you can even refer to specific parts of your own code, which can be painful to do with a common search engine.

Same problem, did you fix it?

any fix yet?@@Mr-gi9rq

Check new openai documentation

use stream model，faster

@@codeacme17 thanks, stream model? What that's about? Version payante ?

coz openai has there own library form where you can use all there tools

I have same problem. im not sure if it has to be paid. Please if you solved it could you tell me how ?

@@user-um9ck9ze3v not yet lol i dove into a website project so i litterally let it down.. i promise i'd let you know if i find it out

me too

Same was the case for me when i was trying it a long back, i switched to another service called chatSonic, you can go for any service of your own choice

Better put in some quarters 😂