Fine-Tuning Large Language Models: An Overview!

LLMs sometimes produce results/responses that aren't expected by a user. The responses can be made up info, biased, or not correct. There are many reasons why they produce the incorrect responses but we call this behaviour as hallucination.

To mitigate this hallucinations behaviour, we have different strategies and one of them is fine-tuning.

In this video, we will see what is fine-tuning, how does it work, a step-by-step methodology and a simple tutorial at the end.

Try the Notebook & tutorial: https://github.com/pavanbelagatti/fine-tuning-tutorial

Wanna try the tutorial? You need to have two pre-requisites.
I have used Gradient AI and SingleStore platforms in the tutorial.
SingleStore is a RDBMS and a has many cool features, sign up and use the notebooks feature, free forever: https://bit.ly/3L05nwe

Gradient AI is a solution that provides a lot of LLM models that we can use for fine tuning.
Sign up here: https://auth.gradient.ai/login

Here is my complete article on fine-tuning LLMs: https://www.singlestore.com/blog/fine-tuning-large-language-models/

Видео Fine-Tuning Large Language Models: An Overview! канала Pavan Belagatti