The talk archive.

Improving Agents is a Data Mining Problem

Vivek Trivedy

RAG, context, and search · Data and model adaptation · Agent engineering

In the Land of AI Agents, the Verifiers Are King

Tariq Shaukat

Agent engineering · Coding and developer tools · Safety and governance

Information Retrieval from the Ground Up

Philipp Krenn

RAG, context, and search · Other / unclassified

Infra behind Krea 2 - How to train and serve at scale

Gabriel Jorge Menezes

Architecture · Observability and reliability · Creative and generative media

Infra that fixes itself, thanks to coding agents — Mahmoud Abdelwahab, Railway

Mahmoud Abdelwahab

RAG, context, and search · Infrastructure and deployment · Architecture

Insights from Snorkel AI running Azure AI Infrastructure

Lachlan Ainley · Humza Iqbal

Infrastructure and deployment · Enterprise · RAG, context, and search

Insights on Building AI teams

Heath Black

Leadership · Other / unclassified

Intelligence + Continual Learning = Expertise

Yu Su

Agent engineering · Leadership · RAG, context, and search

Intro to GraphRAG

Zach Blumenfeld

APIs, MCP, and protocols · RAG, context, and search · Coding and developer tools

Introducing Strands Agents, an Open Source AI Agents SDK

Suman Debnath

RAG, context, and search · APIs, MCP, and protocols · Developer workflows and testing

Introduction to LLM serving with SGLang

Philip Kiely · Yineng Zhang

Safety and governance · Infrastructure and deployment · Vision and video

Invisible Users, Invisible Interfaces: Accelerating Design Iteration with AI Simulation

Alex Liss

Enterprise · Safety and governance · APIs, MCP, and protocols

Ionic Launch: Opening the economy to AI agents

Justin McCarty

Agent engineering · Enterprise · APIs, MCP, and protocols

IT Admin for the AI Workforce — Sarthak Aggarwal, Decawork

Sarthak Aggarwal

Safety and governance · Leadership · Reasoning and models

It's 10pm. Do You Know Where Your Agents Are?

Kim Maida

APIs, MCP, and protocols · Safety and governance

Iterating on LLM apps at scale: Learnings from Discord

Ian Webster

Infrastructure and deployment · APIs, MCP, and protocols · Reasoning and models

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

Mahmoud Mabrouk

Evals · Reasoning and models · RAG, context, and search

Judging LLMs

Alex Volkov

Evals · Reasoning and models · Observability and reliability

Just do it. (let your tools think for themselves) - Robert Chandler

Robert Chandler

APIs, MCP, and protocols · RAG, context, and search · Agent engineering

Keynote: The AI developer experience doesn't have to suck – why and how we built Modal

Observability and reliability · APIs, MCP, and protocols · Architecture

Keynote: Why people think "agent" is a buzzword but it isn't

Chip Huyen

RAG, context, and search · Infrastructure and deployment · Coding and developer tools

Knowledge Graphs & GraphRAG: Techniques for Building Effective GenAI Applications

Andreas Kolleger · Zach Blumenthal · Michael Hunger · Tomasz

RAG, context, and search

Knowledge Graphs in Litigation Agents — Tom Smoker, WhyHow.AI

Tom Smoker

Industry applications · RAG, context, and search · Agent engineering

Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek-R1/V3) — Vibhu Sapra

Vibhu Sapra

Evals · Architecture · Other / unclassified

Lawrence Jones - Fighting AI with AI

Lawrence Jones

Coding and developer tools · Developer workflows and testing · Evals

Layering every technique in RAG, one query at a time

David Karam

RAG, context, and search · Reasoning and models

Leadership in AI-Assisted Engineering

Justin Reock

Leadership · Coding and developer tools · Creative and generative media

Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase

Ritvik Pandya

RAG, context, and search · APIs, MCP, and protocols · Other / unclassified

Learning on the job: the future of post-training

Raymond Feng

Data and model adaptation · Agent engineering · Infrastructure and deployment

Lessons from building GenAI based applications — Juan Peredo

Juan Peredo

Infrastructure and deployment · Coding and developer tools · Evals

Lessons from Building LinkedIn's GenAI Platform

Xiaofeng Wang

Leadership · RAG, context, and search · Coding and developer tools

Lessons from Studying Every Memory System

Shlok Khemani

RAG, context, and search · Architecture

Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci

Stefano Fiorucci

Enterprise · APIs, MCP, and protocols · Data and model adaptation

Let's Build an Agent from Scratch — Kam Lasater

Kam Lasater

Agent engineering · RAG, context, and search · Architecture

Let's go Bananas with GenMedia

Guillaume Vernade

Other / unclassified · Creative and generative media · Vision and video

Let's integrate AI Agents in Event-Sourced Systems

Divakar Kumar

Reasoning and models · RAG, context, and search · Agent engineering