DSPy 3 + GEPA: The Most Advanced RAG Framework Yet — Auto Reasoning & Prompting
Prompt Optimization in Practice: Live Coding with DSPy feat. Serj & Brett
STOP PROMPT ENGINEERING! DSPy is the Future of AI Programming (Build Smarter LLMs FASTER)
DSPy prompt optimization - deep tutorial on custom dataset
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Last Updated: September 25, 2026
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Summary
Complete introduction to the simplest, most efficient, and yet most powerful way I've found to 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. Is Prompt Engineering becoming obsolete? In this video, you'll learn ** We have well-established frameworks LangChain and LLlamaIndex for How to code an automatic prompt Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string. Tired of wrangling brittle prompt strings and endless trial-and-error with LLMs?
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