Nir Gazit

The talk argues that traditional prompt engineering is ineffective and proposes an automated approach to improving AI model responses. The speaker shares a personal experience of enhancing a Retrieval Augmented Generation (RAG) chatbot by building an agent that iteratively refines prompts based on an evaluation system, rather than manual prompt tuning. This method aims to achieve significant improvements without direct, manual prompt manipulation.