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Discover a powerful prompt engineering technique for building more flexible and advanced AI agents in this 51-minute video. Delve into the mechanics of meta-prompting and explore its implementation through a web search AI agent. Learn how to use markdown for prompting, and witness a practical demonstration of meta-prompting with web search capabilities. Analyze the strengths and weaknesses of this approach, and gain insights into developing high-level AI agents. Access additional resources, including a hands-on RAG app project, GitHub repository, and related research paper, to further enhance your understanding of AI engineering and large language models.
Syllabus
Introduction:
What is Meta-Prompting?:
Prompting in Markdown Example:
Meta-Prompting with Web Search intro:
Meta-Prompting with Web Search code:
Meta-Prompting with Web Search demo:
Strengths and Weaknesses:
Taught by
Data Centric