Learn how to build a full-stack app in this tutorial: kzfaq.info/get/bejne/d7OTZaRmpsjOY4E.html

So happy to have found you this morning! We need more designers that can code and explore AI possibilities like you do!

You are the best at explaining things Irina!! Thank you for taking the time to putting this together.

That was a great tutorial. And I like your approach to explaining why one should not be using only one long prompt etc.

Excellent tutorial, well presented and very clear. Thank you …. It works perfectly, unlike many so-called tutorials on YT about AI 😊

Miss Irina, thank you. After few days playing around you got me to the point. Merci!

Great explanation. Very explicit and clear instructions. Thank you very much for this.

Thank you so much for this information. This is exactly the kind of thing I've looking for. Step by step tutorials for finetining your own AI. This is perfect.

Thanks for the amazing tutorial, simple but impactful.

This is exactly what I was looking for, thank you!

Great video Irina !! I was looking for this exact solution and it was the first video of your channel that I followed exactly step by step and it works perfectly end to end It was very clear and well explained. Nice job !! Please continue making this kind of useful videos It was extremely useful for me and extremely detailed. Keep going!

Thanks for this info - it's easier to setup a chatbot than I realized!

Amazing video, very friendly to beginners. Thank you.

Great video and thanks for answering many of the questions! Looking forward to your future YT on integrating into a website.

Great work!! Really nice step by step explanation! By the way you can click the refresh button in the file explorer panel (2nd icon) to refresh the files so that they appear.

Thank you for the tutorial... also, to refresh the files details there is a "Refresh" button located just above the Files detail section. It's an icon of a folder with a circular arrow. This will refresh the section without needing to refresh the page.

thank you !!!! this is a great video Irina, keep up the good work !

I didn't know that we can do something like this with OpenAI, thanks for the video Irina.

Using ChatGPT to generate sample user interview data: genius 💥

It's really nice, I got the insights how we can use the custom knowledge base

Thank you so much, Irina! I copied your source code to Jupyter notebook and create a chatbot in a few minutes! To my surprise, it works! Please give some thumb-ups to this amazing lady. She has spent time to make this solution so easy to use for everyone!

This is an incredible video. You did an amazing job. Subscribed

Great video, thanks!!!

Nice, already done it but i don't know everything so had to watch this!

An excellent tutorial. Thank you.

I love your teaching ❤

Very informative...Thanks 😀 wishing you Lots of love and strength to you.

Great !! Keep Going. All the very best !!👍😄

Even I understood almost everything! Well delivered and interesting content!

You don't need to refresh the whole colab page to update the view of the files/folders, but just the refresh button above the directory structure, in the left pane.

Thanks worked for me 😇

почему ты все время улыбаешься))) так мило)))

Great information irina❤🎉

Nice!

Really good tutorial. I wonder on how well this scales with more documents than just a couple. Do you have some experience with the performance of 1k or 10k documents?

Excellent

awsome!

Great tutorial! Thank you so much for going through this is such detail. Can you suggest a resource that explains how to take the chatbot we create and integrate it into a website or web app with a prettier interface?

Thank you Irina

Thank you so so so much

Hey! Great video! Now that Chat GPT api is out do you know if these libraries will work for it? or is this still only a gpt 3.5 method?

You nailed it ..I ll follow you on Twitter.

Thank you very much, very useful tutorial. Wondering, why did you not use gpt-3.5-turbo - as it is much more inexpensive and probably almost as good?

Thanks for the amazing tutorial. BTW, is there any method to increase the output length? I could only get a answer of approximately 160 words (~250 tokens) right now.

Hi Irina! it is such a great tutorial and would be useful for case that I currently work on. I have tried this with my own research data and turns out so good with relevant and decent answer. But I am wondering is it possible to use the GPT 3 Model but not using it's training data or knowledge? So the information/answer produced would be just using custom data that we added to the knowledge base. Your answer would be very appreciated, thanks!

thank you

Great tutorial. When we send data to OpenAI is that getting used for public training or would it remain private for me ?

Nice 👍

Thanks it’s really helpful. Capfuls you please let me know if I can use complex data having 100 of parameters (text & numbers) ? If yes in what format the should be uploaded?

That smile, that damned smile 😊 And thanks for the nice tutorial btw.

Thanks for posting this video. The whole demo is great. The only thing that I am not clear about how to pick those input, output sizes, and if some are based on the particular model, how do you obtain those from OpenAI (like the davinci) page, just in more details and a screen split such that you don’t have to toggle around.

This is great, thank you! When asking questions to the AI, I didn't notice any custom instructions in use. How can you be sure it was answering only using the data given to it in the index? Can you also make more videos for using custom data from other sources, such as databases? How about the ability to categorize? One minor thing: When pronouncing the word "answer", the "w" is actually silent. (My wife is ESL and always asks me to correct her pronunciation, and I ask the same of her when I speak her native tongue.)

Thanks for the great tutorial! For multiple documents, can you please advise on how i can retrieve the file name where the contextual information is retrieved from?

Great example Irina! I was wondering if the cost of the OpenAi key is for each request? I mean every time you ask the OpenAi key will cost or only will have a cost when you create the dataset in the JSON file? another question, Do you know if the questions/requests will feed the JSON file or are only to work as an assistant using the JSON file as a base? Thanks!

Thank you for the video! Really cool. I have a question: here you are working on Google Colaboración, but how would you bring this to a website? Is it possible? Is it easy? Greetings from Spain :)

Great explination, thnka you, may I ask, Is there a limit on how much custom data you can use and would large custom knowledge slow down the chat?

Congrats Irina very clear and nicely explained 👍Which file formats does it support for indexing? Is it only .txt?

Irina, Many use cases. Excellent information. Thank you. Are you able to provide a similar method for creating a generative AI for a closed system that ensures secret or confidential company or government data cannot be leaked?

Hi Irina, thanks for sharing. Do you know if, having a large training set, you can also ask statistical questions about the set? For example, if one of the questions you had in the interview was "How much did you pay for an air-fryer?", could you ask GPT a question like: "On average, how much people paid for an air-fryer?"? thanks

Thank you for sharing this walkthrough! It's exciting to think about the potential uses for this. At my company we have pretty tight digital security because we sometimes deal with personal identifying information. You mentioned that your actual research is also confidential. So I'm curious about the security risk of something like this. Do you have any concerns over the security of the data you are uploading?

Hi Irina - Would building a custom AI chatbot also allow you to avoid the topic restrictions put into place by OpenAI/Bing/etc. in their chat modes? Personally I'm interested in interacting with one of these AIs without all the restrictions put into place by the corps running them publicly, and if possible with persistent memory of previous conversations. The technology fascinates me but I don't want to interact with "gimped" AIs that, as entities, can't really exhibit their true capabilities due to the restrictive actions of the tech companies who are trying to reduce their exposure from a liability standpoint.

Hi Thank you for that content! I am just curious about the files size limit and the importance of the file format in your approach. I have seen that you are using .txt files. I am using pdfs to feed the knowledge base of custom GPTs but I am observing a low accurary in the answers. It seems that the GPT is not looking at all the knowledge base (6 merged pdfs with 7000 pages approx. in total). Do you have any advice?

Thanks! Now I can fire all my employees and save lots of money!

great. tnx

Great work, it's quite clear, Seems the llama Index has many updates, I can't recreate your work, would you please make an updated version? thanks a lot~

What could be happening here? I asked how many people were interviewed and the reply was "One person was interviewed". I asked how many times did "It was fun to talk about cooking." appear and it said none (interview4 ends with this quote). Thank you, great video!

really appreciate your work, just have one question for the chunk, can I split the text into chunks by sentence or comma or space instead of chunk size?

Благодарочка! нижайший поклон! Респект и уважуха)))

Amazing tutorial! Thanks! If you're looking for future tutorial ideas, I'd love to know how to expand on this to create my own API endpoints so my trained chat bot can be made publicly available from my website. I'm not very familiar with Google Collab (or python for that matter - I'm a php/js web developer), so I'll try to do some of my own research on how this might be possible -- but I really enjoyed and easily absorbed the info in this video. Well done. :)

Irina, thank you for your help? When I ask it irrelevant article questions, it seems to many times provide answers, when it shouldn't. Anyway to ensure it only focuses on my uploaded article?

Thanks for this very helpful video. I am very happy to have found it. I would like to create my own knowledge database that includes ideas I've had in the past, transcripts from KZfaq tutorials, manuals, etc. Some of this content is constantly changing. For example, a manual isn't updated very often, so I can create a database with it and leave it as is. However, what about ideas and the aforementioned transcripts of tutorials? It might not be very efficient to manually update these, so I would try to automatically update them on a schedule. Alternatively, would it make more sense to leave them out and just let the bot scan through all my ideas in normal text form, notifying me if I've had a similar idea before or if it finds connections between different ideas I've had? Any help is appreciated. Thank you.

Very nice tutorial. Have you developed any consumer-facing AI-powered web apps?

Great video! How do we customize it to our local repository as you suggested?

Very nice and easy way thank you !!! I have a question regarding the custom knowledge base … can I implement a prolog knowledge base and put it there or it should be a text type because prolog is a requirement in my school project… I hope you answer and thanks a lot ❤

Hello! Thank you for the helpful tutorial! What would happen if I ask a question in another language? Would this chatbot switch to the language as ChatGPT does? Thanks a lot.

hey, any tips on how to fine tune a model based on a very large pdf document without the " " to split prompt/resolution? I thought maybe have a script break down in every question mark? Or is there some other way?

Пасибки 🥰

Hey Irina! Thank you for this tutorial, it's a game changer. This is built off GPT 3, how would you go about running it off GPT4? Thanks!

Hi Irina, thanks for the video. I want to ask how do you limit the model to answer only about your information. I.e., what would happen if the person asks any question out of context (like: "Can I go to Miami for holiday?"), will it reply?. Thanks

Amazing tutorial. Is there a way where we can let the model answer the questions faster! It takes nearly 30 seconds to answer the questions.

Hello, nice video. Please let me know how this will ensure our data still will be our data. Will OpenAI won't have access to it now ?

Is there a good one already made, loaded with up to date research papers?

Hello! Thank you for the video! Also your secret API key is visible in the first few frames before you blur it! You should delete that API key completely!

Does the data in the folder have to be a .txt file, or can I include pdfs and other documents?

This just spits out the text related to the query. If I want to augment GPT capabilities with my own data set. what is the best way to do it? For example, using the same example of interview transcription, I should be able to ask the GPT to summarize how the candidate did or whether the interviewee answer was correct for a particular question. Any idea how to go about that? I understand fine-tuning is a possibility but if i have 10,000 interview scripts i want to augment the GPT capabilities with, I am not sure how to go about it. Any help?

One question, Whenever we ask a question......Does it go through the entire Index everytime? And does that cost us a lot of Tokens for each question? Because If that's the case then we would run out of credit if we applied an App like that for users online.

😍

Very intresting. I noticed you said that you can't share the real interviews in video because there can be private information, which is understandable. However, how do you secure that Open AI doesn't receive this information? I find the biggest problem is how to avoid Open AI getting either user or customer information?

How would you adapt this to derive context from dynamic data being generated in a website?

You feed text data files for providing the data to the model, what if I have an excel file or a tabular data file? And, Openai api key is free or it is paid?

Is there a software package that can make an entire openai chatbox GPT4 or even 3.5 just by pointing at a folder of PDFs? We would pay thousands for this right now. The application has to run local on a PC.

Great tutorial! Have you considered doing an updated version with the new ChatGPT API?

Hello, thanks a lot for that video. I arrived from the article you have written. I do have a specific question. Is it possible to use more complex data as context stored in a google table, airtable, etc). Similar to the screenshot you are showing in the article. Reason why I am asking: We have our data categorized and I would like to ask specific questions like "In the category XY, what are the top insights...."

Hi, Can anybody tell me where did she use the interview sample files in code? Overall it's fantastic

Thank you so very much. A quick question - how can I get more detailed responses?

If i put my own knowledge base to chatgpt for reference, is it just my api qill be able to access the content or it will also share the same to others chatgpt users? Is there any security comcern on this?

Absolutely Great video Irina. The colab seems to have llama errors. Was anything changed with the colab? Would love to connect to discuss more. Great tutorials!!

How is this GPT-index different from OpenAI's Text Embedding ADA model? Or is it just a wrapper of that model?

A few points not mentioned in the videos: Essentially, it is fine-tuning. However, the module for fine-tuning has been pre-written for you. Fine-tuning can only be done with models below GPT3. Currently, Fine-tuning is not available for ChatGPT, GPT3.5, or CPT4. For GPT2 to be effective, you need at least 300M training data. Models with more parameters than GPT3 require even more data to achieve the desired effect

having data in a file and real time embeddings vs embeddings in a db for chatbot for an application (provides information about an application)?