NEFTune: NEW LLM Fine-Tuning plus 25% Performance

NEFTune : NOISY EMBEDDINGS IMPROVE INSTRUCTION FINE-TUNING.
A new Instruction Fine-Tuning method increases LLM performance by up to 25%, with one line of code in HuggingFace TRL Transformer Library.

NEFTune explained in theory and on a practical example.

Arxiv pre-print available at (all rights with authors):
https://arxiv.org/pdf/2310.05914.pdf

HuggingFace TRL code implementation of NEFTune:
https://huggingface.co/docs/trl/main/en/sft_trainer#enhance-models-performances-using-neftune

#finetuning
#ai
#aieducation

arxiv authors code embeddings example explained fine-tuning finetuning huggingface implementation library line llm llm performance performance practical rights theory transformer