Dspy Explained Build 5 Dspy Programs Rag Agents Optimizers Python

Summary

In this video, we talk about Stanford NLP's Prompt engineering is mostly guesswork: call the model an expert, type in all caps, promise it a $20 tip, and hope. Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... Complete introduction to the simplest, most efficient, and yet most powerful way I've found to How to code an automatic prompt Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string. We have well-established frameworks LangChain and LLlamaIndex for Welcome to our in-depth exploration of Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... And then we ran GEPA in blue and MIPRO, which is an older prompt