Fine-Tuning your own ChatGPT model: Live Tutorial (No Code)

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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💬 Let me know what you think of this video in the comment section below.
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/ @givemethemic22
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#GiveMeTheMic #ChatGPT, #Openai #finetuning

[@RichardMiller1]

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!

[@GiveMeTheMic22]

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
czcams.com/video/JJ_fdazahng/video.html

[@SanchirmaaBayandalai]

How to update my existing Fine-tune model without create new model

[@GiveMeTheMic22]

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