Sebastian Raschka • 9/15/2023

Optimizing LLMs From a Dataset Perspective

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This technical article details methods for optimizing Large Language Models (LLMs) by curating and manipulating instruction datasets for supervised fine-tuning. It explains the components of instruction datasets, discusses relevance to efficiency challenges like the NeurIPS LLM Efficiency Challenge, and guides on preparing custom datasets for open-source LLMs.

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#llm #Neural Networks #Dataset
Optimizing LLMs From a Dataset Perspective

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