Revolutionizing Language Model Fine-Tuning: Achieving Unprecedented Gains with NEFTune’s Noisy Embeddings

Instruction fine-tuning is the process of training an LLM on a small curated instruction dataset, which allows the model to achieve high performance on instruction-based tasks. It offers numerous advantages, such as better interpretability, reduced bias, and enhanced task performance. Instruction fine-tuning is, therefore, vital in harnessing the full potential of LLMs, and as such, […]

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