Media Summary: 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, ...

Prompt Optimization With Dspy - Detailed Analysis & Overview

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, ... In this talk, Mikhail from Evidently AI guides builders through automated ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Planning, Reasoning, and Agents Reading Group 2026-01-14 meeting recording. Dzmitry Pletnikau presents the paper ...

In this AI Tech Experts Webinar, Julia May (ML Engineer), explains why This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...

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Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course
Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples!
Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy
Prompt Optimization with DSPy
STANFORD'S DSPy: Why You'll NEVER Write a Manual Prompt Again (Automatic Optimisation Paradigm Shift
Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines
DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Automated Prompt Engineering with DSPy | Prompt Optimization for Financial News Semantic Analysis
DSPy prompt optimization - deep tutorial on custom dataset
Automated Prompt Optimization - Mikhail Sveshnikov
Bay.Area.AI:  DSPy: Prompt Optimization for LM Programs, Michael Ryan
DSPy Explained (Databricks Demo): Build Model-Agnostic Agents + Auto Prompt Optimization (GEPA)
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Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course

Complete DSPy Course | Automatic and Programmatic Prompt Optimization | Complete Course

How to code an automatic

Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples!

Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples!

In this video, we talk about Stanford NLP's

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

... our

Prompt Optimization with DSPy

Prompt Optimization with DSPy

As model performance converges,

STANFORD'S DSPy: Why You'll NEVER Write a Manual Prompt Again (Automatic Optimisation Paradigm Shift

STANFORD'S DSPy: Why You'll NEVER Write a Manual Prompt Again (Automatic Optimisation Paradigm Shift

Stanford researchers created

Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines

Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines

Large Language Models (LLMs) excel at understanding messy, real-world data, but integrating them into production systems ...

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ...

Automated Prompt Engineering with DSPy | Prompt Optimization for Financial News Semantic Analysis

Automated Prompt Engineering with DSPy | Prompt Optimization for Financial News Semantic Analysis

Learn to use

DSPy prompt optimization - deep tutorial on custom dataset

DSPy prompt optimization - deep tutorial on custom dataset

DSPy

Automated Prompt Optimization - Mikhail Sveshnikov

Automated Prompt Optimization - Mikhail Sveshnikov

In this talk, Mikhail from Evidently AI guides builders through automated

Bay.Area.AI:  DSPy: Prompt Optimization for LM Programs, Michael Ryan

Bay.Area.AI: DSPy: Prompt Optimization for LM Programs, Michael Ryan

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference

DSPy Explained (Databricks Demo): Build Model-Agnostic Agents + Auto Prompt Optimization (GEPA)

DSPy Explained (Databricks Demo): Build Model-Agnostic Agents + Auto Prompt Optimization (GEPA)

Prompt

Stop Prompt Engineering! Program Your LLMs with DSPy

Stop Prompt Engineering! Program Your LLMs with DSPy

Can algorithmically

DSPy: Prompt Optimization. Declarative Programming for Large Language Models (LLMs)

DSPy: Prompt Optimization. Declarative Programming for Large Language Models (LLMs)

DSPy

Planning, Reasoning, and Agents RG, 2026-01-14 Session: GEPA, prompt optimization outperforming RL.

Planning, Reasoning, and Agents RG, 2026-01-14 Session: GEPA, prompt optimization outperforming RL.

Planning, Reasoning, and Agents Reading Group 2026-01-14 meeting recording. Dzmitry Pletnikau presents the paper ...

From Prompt Engineering to Prompt Optimization in Production LLM Systems

From Prompt Engineering to Prompt Optimization in Production LLM Systems

In this AI Tech Experts Webinar, Julia May (ML Engineer), explains why

Using DSPy for Prompt Optimization in Python: Example of Calibrating Quiz Bowl Questions [Lecture]

Using DSPy for Prompt Optimization in Python: Example of Calibrating Quiz Bowl Questions [Lecture]

This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check ...