The content delves into comparing different Large Language Models (LLMs) such as GPT-3.5, GPT-4, and Llama-2-7b in formulating optimization problems from natural language descriptions. It emphasizes GPT-4's exceptional performance and introduces a novel fine-tuning approach for Llama-2-7b using the LM4OPT framework. The study also discusses the challenges faced by smaller models in handling complex contexts and provides insights into improving model performance for intricate tasks.
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by Tasnim Ahmed... at arxiv.org 03-05-2024
https://arxiv.org/pdf/2403.01342.pdfDeeper Inquiries