In this video, we dive into the world of LoRA (Low-Rank Approximation) to fine-tune large language models. We'll explore how LoRA works, its significance in reducing memory usage, and how to implement it using oobabooga's text generation web UI. Whether you're a beginner or a pro, this step-by-step tutorial will help you harness the power of LoRA to improve your language model's performance. Don't miss out on our explanation of the underlying linear algebra concepts, as well as a detailed breakdown of the hyperparameters involved in LoRA training. Join us in our quest for efficient language model fine-tuning!
#LoRA #LanguageModel #FineTuning #NLP #AI #machinelearning
0:00 Intro
0:30 What are LoRA's
4:48 How to use LoRA's in OobaBooga
Oobabooga download: https://github.com/oobabooga
Training file examples: https://github.com/Aemon-Algiz/LoRAExamples/tree/main