Introduction and Overview of Fine-Tuning GPT Models - 00:00:00 Understanding Fine-Tuning and Its Benefits - 00:00:38 Data Preparation for Fine-Tuning - 00:01:36 Formatting Data for OpenAI API - 00:03:41 Installing Necessary Packages - 00:04:10 Loading and Preparing Data in Python - 00:04:43 Creating Response Strings from Data - 00:05:58 Crafting Conversations for Fine-Tuning - 00:08:50 Saving Data in JSONL Format - 00:12:04 Uploading Data to OpenAI and Fine-Tuning Process - 00:13:51 Checking the Status of Fine-Tuning Job - 00:17:23 Using the Fine-Tuned Model in Playground and Python - 00:19:01 Demonstration and Results of Fine-Tuning - 00:20:28 Conclusion and Final Thoughts - 00:21:56
When Creating the dataset to train gpt-3.5-turbo For a conversational AI If I want to train the model to answer something specific to a range of similar questions that can occur during a conversation. *The conversation is a script which the AI follows* Should I include only the question and the response or should I include all the conversation up to where that specific question is asked ?
It is a very informative video for the ones who is trying to understand the mechanism of fine-tuning with gpt models. Thank you very much.
Introduction and Overview of Fine-Tuning GPT Models - 00:00:00
Understanding Fine-Tuning and Its Benefits - 00:00:38
Data Preparation for Fine-Tuning - 00:01:36
Formatting Data for OpenAI API - 00:03:41
Installing Necessary Packages - 00:04:10
Loading and Preparing Data in Python - 00:04:43
Creating Response Strings from Data - 00:05:58
Crafting Conversations for Fine-Tuning - 00:08:50
Saving Data in JSONL Format - 00:12:04
Uploading Data to OpenAI and Fine-Tuning Process - 00:13:51
Checking the Status of Fine-Tuning Job - 00:17:23
Using the Fine-Tuned Model in Playground and Python - 00:19:01
Demonstration and Results of Fine-Tuning - 00:20:28
Conclusion and Final Thoughts - 00:21:56
most awaited video. looking for more LLM and AI videos
You are making requested videos. Thank you ❤
well done, I would be cool to see the process of fine-tuning an open source model
Very useful lecture to bring out more power out of LLM. Enjoyed it very much!
what are the solutions for chatgpt to go out and collect/search for structured info as defined by client?
can we get the demo excel file?
very cool! thanks! I would have expected it to be more difficult ...
Fine tune ollama models plz ❤ nice vedio
When Creating the dataset to train gpt-3.5-turbo
For a conversational AI
If I want to train the model to answer something specific to a range of similar questions that can occur during a conversation.
*The conversation is a script which the AI follows*
Should I include only the question and the response or should I include all the conversation up to where that specific question is asked ?
very easy to understand thank you!
Hi, great video! Please do next an open source LLM or training an LLM locally.
How we can fine tune it for data extraction tasks where NLU is required to process the data.?
Great! Thank you for sharing
Does the ChatGPT have the latest meta data of UA-cam videos? Or isn’t it the video you uploaded earlier for the ChatGPT to learn?
how can i use this finetuned model for the sake of a chatbot in my VR application in unity
you have done a great job
I copied the methods, worked really well.
how to give the bot basic discription?
awesome bro.
Why I am always getting Invalid file format 😭😭
thats great work but summarizing video in a project is also suggested
at last content is worth Millions View
how to remove a finetune in openai? by api?
python coding challenge-97
ua-cam.com/video/uN-js7WkdKA/v-deo.htmlsi=BQcqi6Nw2oZUonMy
python coding challenge-98
ua-cam.com/video/JRbbhQ2fMEM/v-deo.html
Nice
WAHT'S going on guys!
You should just extract the ids from the response objects rather than copy and pasting
pandas refuses to read the excel file
First