LIMA: Can you Fine-Tune Large Language Models (LLMs) with Small Datasets? Less Is More for Alignment

In this video, we delve into the paper "LIMA: Less Is More for Alignment" - a research paper by Meta AI. We'll discuss how LIMA, a 65B parameter fine-tuned LLaMa language model, achieves remarkable performance with minimal fine-tuning. Using only 1,000 curated prompts and responses, LIMA performs great without any reinforcement learning or human preference modeling. The model showcases its ability to learn complex response formats, from planning trip itineraries to speculating about alternate history, based on just a handful …

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