Media Summary: 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 video, we talk about Stanford NLP's

Prompt Optimization With Dspy - Detailed Analysis & Overview

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 video, we talk about Stanford NLP's 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 ... Transform your LLM development from chaotic

In this talk, Mikhail from Evidently AI guides builders through automated Will discuss the principles for building AI software that underpin

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

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, ...

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

Prompt Optimization with DSPy

Prompt Optimization with DSPy

As model performance converges,

DSPy prompt optimization - deep tutorial on custom dataset

DSPy prompt optimization - deep tutorial on custom dataset

DSPy prompt optimization

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

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

Matei Zaharia - Reflective Optimization of Agents with GEPA and DSPy

... our

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

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 ...

Dagster Deep Dive - Stop Writing Prompt Spaghetti: Production LLM Engineering with DSPy & Dagster

Dagster Deep Dive - Stop Writing Prompt Spaghetti: Production LLM Engineering with DSPy & Dagster

Transform your LLM development from chaotic

Automated Prompt Optimization - Mikhail Sveshnikov

Automated Prompt Optimization - Mikhail Sveshnikov

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

I Found the Easiest Way to Build Self-Optimizing AI Prompts (Beginner to Pro Path)

I Found the Easiest Way to Build Self-Optimizing AI Prompts (Beginner to Pro Path)

My site: https://natebjones.com The Story ...

On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks

On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks

Will discuss the principles for building AI software that underpin