Fine-Tuning your own ChatGPT model: Live Tutorial (No Code)
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- Опубликовано: 7 сен 2024
- Join me LIVE as we explore the advanced capabilities of OpenAI's fine-tuning feature, now accessible to a wider audience! In this special broadcast, I'll dive deep into how fine-tuning ChatGPT can transform AI applications and project implementations.
🔍 What to Expect:
- Detailed Exploration: Delve into the specifics of the fine-tuning process and discover how it enhances the performance of ChatGPT compared to standard models.
- Live Demonstration: Witness the power of OpenAI's fine-tuning in action as I experiment with it on diverse datasets to showcase its transformative potential.
- Witness the thrill (and challenges) of my FIRST EVER LIVE session!
This session is perfect for anyone interested in AI advancements, particularly in how ChatGPT and OpenAI are shaping the future of technology.
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You mentioned a more detailed discussion about the testing results for fine tuning (training loss and convergence). But I need to find out which video you mean. Can you share! This was a good video!
This is a video most find boring 😂 it is about ai and I address such concepts
AI beyond chatGPT! Build and Test and Demo ANNs - No Code
ruclips.net/video/JJ_fdazahng/видео.html
Introduction and Purpose of the Live Stream - 00:00:00
Accessing OpenAI Fine-Tuning and Tier System Explanation - 00:01:24
Threads and Interface in OpenAI for Tracking Usage - 00:03:56
Overview of AI Fundamentals and Past Content - 00:05:13
Introduction to Fine-Tuning Concepts and Neural Networks - 00:08:47
Importance of Fine-Tuning and Adjusting Model Weights - 00:12:09
Fine-Tuning Use Cases and Preparing Training Data - 00:21:07
Creating Training Data for Fine-Tuning in JSON Format - 00:24:12
Uploading Training and Validation Data for Fine-Tuning - 00:38:20
Running the Fine-Tuning Job and Understanding Parameters - 00:43:01
Live Fine-Tuning Demonstration and Analysis - 00:45:29
Exploring Fine-Tuned Model in OpenAI Playground - 00:50:46
Comparison of Standard and Fine-Tuned Model Responses - 00:52:12
Using Fine-Tuned Models in Assistants and Applications - 00:56:29
Conclusion and Closing Remarks - 00:57:17
???
Thanks for the chapter breakdown
Is it possible to link that fone tuned model to live data. Like train it, where to find informations in a google spreadsheet.
Never tried it myself but I am sure you can, I think this is doable through code only which is not me domain unfortunately
Potentially can be automated as there is a predefined acting in zapier and make for fine-tuning ChatGPT that I never used, so in theory an automation could trigger a fine tuning event but this is me assuming
How to update my existing Fine-tune model without create new model
I think for now you will have to fine tune and then take over any knowledge and copy/ paste the instructions… maybe in the future they make it a new version of the assistant… in theory by fine tuning you are modifying the weights of the model (I assume) so, might be the reason for this