Sebastian Raschka
@sebastianraschka·88.6K subscribers·307 videos
Insights from Finetuning LLMs with Low-Rank Adaptation
Posted
December 17, 2023
Views
11,336
Likes
356
Comments
20
Engagement
3.32%
December 17, 2023
11,336
356
20
3.32%
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13:49Now PlayingSebastian's books
LoRALowRank Adaptation of Large Language Models,
LitGPT LoRA Tutorial
Low-rank adaptation (LoRA) stands as one of the most popular and effective methods for efficiently training custom Large Language Models (LLMs). As practitioners of open-source LLMs, we regard LoRA as a crucial technique in our toolkit.
In this talk, I will delve into some practical insights gained from running hundreds of experiments with LoRA, addressing questions such as: How much can I save with quantized LoRA? Are Adam optimizers memory-intensive? Should we train for multiple epochs? How do we choose the LoRA rank?
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