Addressing the challenges of accessibility, reproducibility, and standardization in Large Language Models (LLMs), a new efficiency challenge is introduced. The competition invites the community to fine-tune a foundation model on a single GPU within 24 hours, maintaining high task accuracy. The results will be analyzed for accuracy and computational performance tradeoffs, with insights distilled into well-documented steps and tutorials, democratizing access to state-of-the-art LLMs.
Read more at NeurIPS Large Language Model Efficiency Challenge:1 LLM + 1GPU + 1Day…