ML4LM — Fine-Tune Smarter, Not Harder: Discover LoRA for LLMs
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Fine-Tune Smarter, Not Harder: Discover LoRA for LLMs
When fine-tuning a Large Language Model (LLM), instead of adjusting all the original weights, we can train a smaller set of new weights…
Original Weights of LLM are freezed /unchanged, only LORA weights A, B matrices are trained and are multiplied and added on to original weights by taking a ratio
Introduction to Low-Rank Adaptation (LoRA) for efficient fine-tuning of Large Language Models, reducing computational requirements while maintaining performance.