Sebastian Raschka • 9/15/2023

Optimizing LLMs From a Dataset Perspective

This technical article explores methods to optimize Large Language Models by carefully curating instruction datasets for fine-tuning. It covers supervised instruction fine-tuning, dataset composition, and practical applications for improving LLM efficiency and performance, with relevance to competitions like the NeurIPS LLM Efficiency Challenge.

0 comments

#llm #Neural Networks #Dataset