X @Avi Chawla

I have been fine-tuning LLMs for over 2 years now!Here are the top 5 LLM fine-tuning techniques, explained with visuals:First of all, what's so different about LLM finetuning?Traditional fine‑tuning is impractical for LLMs (billions of params; 100s GB).Since this kind of compute isn't accessible to everyone, parameter-efficient finetuning (PEFT) came into existence.Before we go into details of each technique, here's some background that will help you better understand these techniques:LLM weights are matric ...