Atria AI’s Post

View organization page for Atria AI, graphic

523 followers

How can we do better prompt enginering? By automating it! New research introduces OPRO, a method using large language models (LLMs) as optimizers. By framing optimization tasks as natural language prompts, OPRO allows LLMs to iteratively refine solutions. The real game-changer? Automated prompt engineering. OPRO-optimized prompts significantly outperform human-designed ones on reasoning benchmarks, with accuracy gains up to 50%. This showcases LLMs' potential as versatile optimizers adaptable to various tasks through natural language. While challenges remain, OPRO opens new possibilities for AI-driven optimization across industries. Check out the paper below or try Anthropic's prompt generator https://lnkd.in/eM-qx_Ct #anthropic

Large Language Models as Optimizers

Large Language Models as Optimizers

arxiv.org

To view or add a comment, sign in

Explore topics