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Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines
DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Systematic LLM Prompt Optimization with DSPy and Databricks
Prompt Optimization with DSPy
Stop Prompt Engineering! Program Your LLMs with DSPy
DSPy: The Brilliant Prompting Idea Nobody Actually Uses
STANFORD'S DSPy: Why You'll NEVER Write a Manual Prompt Again (Automatic Optimisation Paradigm Shift
Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy
Bay.Area.AI: DSPy: Prompt Optimization for LM Programs, Michael Ryan
Using DSPy for Prompt Optimization in Python: Example of Calibrating Quiz Bowl Questions [Lecture]
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Last Updated: October 14, 2026
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In this video, we talk about Stanford NLP's Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ... Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... [2026 - DAY 2 - WORKSHOP] Sustainable As model performance converges, This talk video is a node in devreal.ai, the developer community graph. It connects to: Talk: This is a single lecture from a course. If you you the material and want more context (e.g., the lectures that came before), check ...