The ALPACA Code explained: Self-instruct fine-tuning of LLMs

Pytorch code to fine tune and INSTRUCTION fine-tune your Large Language Models (like Alpaca LLM AI) w/ instruct fine tuned data sets: beautiful, but non-trivial code endeavors. Use your data set (and instruct fine-tune it) to fine-tune your LLM for your multiple tasks in parallel! Self-instruct is a method to generate data sets, where ChatGPT /GPT-4 or other LLMs generate synthetic data sets according to our needs for fine tuning or instruct fine tuning our LLM for specific tasks (like summarization, translation, Q+A, ..). SELF-INSTRUCT: Aligning Language Model with Self Generated Instructions arxiv.org/pdf/2212.10560.pdf Stanford ALPACA: crfm.stanford.edu/2023/03/13/alpaca.html github.com/tatsu-lab/stanford_alpaca #ai #naturallanguageprocessing #finetuning #chatgpt #machinelearning

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