Media Summary: In this video, we talk about Stanford NLP's How to code an automatic prompt optimizer. How the most advanced prompt optimization tool, Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ...
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In this video, we talk about Stanford NLP's How to code an automatic prompt optimizer. How the most advanced prompt optimization tool, Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... Can algorithmically optimizing prompts outperform prompt engineering? Resources: AGENTIC CODING CLUB [ ⚡ my official community ] ▻ ⚡ Weekly ... Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ...
Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string. We have well-established frameworks like LangChain and LLlamaIndex for building apps with LLMs. So why another framework ...
