LLM Fine-Tuning

Part 1: Eight Major Methods For FineTuning an LLM

I delve into eight methods that use targeted parameter fine-tuning of LLMs. I discuss in detail Gradient-based, LoRA, QLoRA, and four others as advanced variations of ULMFiT: selecting a small subset of the available parameters in a trained LLM.

Targeting a subset of the parameters to fine-tune an LLM. Photo by Oliver Hale on Unsplash

Overview of FineLarge Language Models