Insights from Finetuning LLMs with Low-Rank Adaptation
19:44
LLMs: A Journey Through Time and Architecture
13:33
Understanding PyTorch Buffers
17:07
LoRA explained (and a bit about precision and quantization)
20:05
Finetuning Open-Source LLMs
5:12
Computer Vision Models with LLM Training Dynamics (TrAct)
58:46
Developing an LLM: Building, Training, Finetuning
19:17
Low-rank Adaption of Large Language Models: Explaining the Key Concepts Behind LoRA
1:19:27