AI Engineer topic

Prompt optimization

10 AI Engineer conference talks about Prompt optimization.

AI Engineer World's Fair 202622:35

Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI

Soheil Feizi

Agent engineering · Fine-tuning · Infrastructure & deployment

AI Engineer Code 20251:13:13

DSPy: The End of Prompt Engineering

Kevin Madura

Retrieval-augmented generation · Observability & reliability · Coding agents

AI Engineer Europe 202640:51

Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI

Mahmoud Mabrouk

Evals · ML fundamentals · Retrieval-augmented generation

AI Engineer World's Fair 202519:12

On Engineering AI Systems that Endure The Bitter Lesson

Omar Khattab

MCP · Coding agents · Infrastructure & deployment

AI Engineer World's Fair 202419:29

Optimizing LLMs in Insurance with DSPy: Beyond Manual Tuning

Jeronim Morina

Safety & governance · Evals · Retrieval-augmented generation

AI Engineer Europe 20261:20:40

Playground in Prod - Optimising Agents in Production Environments

Samuel Colvin

Agent engineering · Retrieval-augmented generation · Evals

AI Engineer World's Fair 202616:29

Simulation-Maxxing: How Nubank ships agents 20× faster with simulations

Shreya Rajpal · Aman Gupta

Retrieval-augmented generation · Infrastructure & deployment · Evals

AI Engineer World's Fair 202617:11

The Unreasonable Effectiveness of Separating the Task from the Model

Maxime Rivest · Isaac Miller

Agent engineering · Evals · Infrastructure & deployment

AI Engineer World's Fair 202621:27

Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA

Lakshya Agrawal

Prompt optimization · Autoresearch

AI Engineer NYC 2026 Online Talks11:12

How to Actually Tokenmaxx and Save Millions — Alvin Pane, OutRival

Alvin Pane

Agent engineering · Observability & reliability · Evals