Researchers from Stanford and OpenAI Introduce ‘Meta-Prompting’: An Effective Scaffolding Technique Designed to Enhance the Functionality of Language Models in a Task-Agnostic Manner

Language models (LMs), such as GPT-4, are at the forefront of natural language processing, offering capabilities that range from crafting complex prose to solving intricate computational problems. Despite their advanced functionalities, these models need fixing, sometimes yielding inaccurate or conflicting outputs. The challenge lies in enhancing their precision and versatility, particularly in complex, multi-faceted tasks. […]

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