AI Engineer Europe 202616:17
Let’s Talk About FOMAT – Fear of Missing Agent Time
Michael Richman
APIs, MCP, and protocols · Coding and developer tools · Observability and reliability
← Featured AI Engineer talks
The talk archive.
1,011 published talks.
AI Engineer World's Fair 202519:54
Letting AI Interface with Your App with MCP
Kent C. Dodds
Agent engineering · Safety and governance · Vision and video
AI Engineer World's Fair 202418:06
Level Up Your Automation Game: Agentic Workflows on Vertex AI
Rukma Sen
Architecture · Reasoning and models · Agent engineering
AI Engineer World's Fair 20241:00:58
Llama 3 at 1[REDACTED:password]000 tok/s on the SambaNova AI Platform
Rachelle Mattern · Petro Milan · Varun Krishna
RAG, context, and search · Infrastructure and deployment · Architecture
AI Engineer World's Fair 202417:25
Llamafile: bringing AI to the masses with fast CPU inference
Stephen Hood · Justine Tunney
Infrastructure and deployment · Reasoning and models
AI Engineer Europe 202619:18
LLM codegen fails and how to stop 'em
Danilo Campos
Agent engineering · RAG, context, and search · Coding and developer tools
AI Engineer World's Fair 202418:49
LLM Evals That Work IRL
Aparna Dhinkaran · Aparna Dhinakaran
Evals · RAG, context, and search
AI Engineer World's Fair 202621:17
LLM Knowledge Bases: a practical guide
Ben Holmes
Agent engineering · Coding and developer tools · RAG, context, and search
AI Engineer Europe 202616:32
LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize AI
Dat Ngo
Enterprise · Coding and developer tools · RAG, context, and search
AI Engineer World's Fair 202453:05
LLM Quality Optimization Bootcamp
Thierry Moreau · Pedro Torruella
Data and model adaptation · Reasoning and models · Infrastructure and deployment
AI Engineer World's Fair 202434:10
LLM Safeguards: Security, Privacy, Compliance, Anti-Hallucination
Daniel Whitenack
Enterprise · Leadership · Healthcare
AI Engineer World's Fair 202420:00
LLM Scientific Reasoning: How to Make AI Capable of Nobel Prize Discoveries
Hubert Misztela
Reasoning and models · Industry applications · RAG, context, and search
AI Engineer World's Fair 20241:14:46
LLMs for the working programmer. Become a 10x programming centaur today!
Manuel Odendahl
Coding and developer tools · Enterprise
AI Engineer Europe 202621:56
Lobster Trap: OpenClaw in Containers from Local to K8s and Back
Sally Ann O'Malley
Infrastructure and deployment · APIs, MCP, and protocols · Agent engineering
AI Engineer World's Fair 202618:04
Local Agentic Theory For Mobile Games — Shafik Quoraishee & Joanne Song, The New York Times
Shafik Quoraishee · Joanne Song
Enterprise · Creative and generative media · Vision and video
AI Engineer World's Fair 202643:21
Local Models: Trust, Control, Optimization
Carter Abdallah · Vincent Weisser · Lucas Atkins · Chris Alexiuk
APIs, MCP, and protocols · Infrastructure and deployment · Reasoning and models
AI Engineer Code 20251:15:52
Long Tasks and Experienced Open Source Dev Productivity
Joel Becker
Agent engineering · Infrastructure and deployment · Coding and developer tools
AI Engineer World's Fair 202617:57
Loop Engineering from first principles
Kyle Mistele
Coding and developer tools · APIs, MCP, and protocols · Enterprise
AI Engineer World's Fair 20242:52:26
Low Level Technicals of LLMs
Daniel Han
Reasoning and models · Coding and developer tools · Architecture
AI Engineer World's Fair 202524:35
Luminal - Search-Based Deep Learning Compilers - Joe Fioti
Joe Fioti
Reasoning and models · Coding and developer tools · RAG, context, and search
AI Engineer World's Fair 202519:37
Machines of Buying & Selling Grace
Adam Behrens
Safety and governance · Infrastructure and deployment · Enterprise
AI Engineer World's Fair 202520:28
Magic Editor Under the Hood: Weaving Generative AI into a Billion-User App
Kelvin Ma
Infrastructure and deployment · Observability and reliability · Creative and generative media
AI Engineer World's Fair 202519:18
Make your LLM app a Domain Expert: How to Build an LLM-Native Expert System
Christopher Lovejoy
Enterprise · Healthcare · Evals
AI Engineer Europe 20261:04:27
Make your own event-sourced agent harness using stream processors
Misha Kaletsky · Jonas Templestein
Infrastructure and deployment · Agent engineering · Developer workflows and testing
AI Engineer Code 202515:33
Making Codebases "Agent-Ready"
Eno Reyes
Coding and developer tools · APIs, MCP, and protocols · Developer workflows and testing
AI Engineer World's Fair 202418:55
Making Open Models 10x faster and better for Modern Application Innovation
Lin Qiao · Dmytro (Dima) Dzhulgakov
RAG, context, and search · Observability and reliability · Vision and video
AI Engineer Europe 202615:05
Malleable Evals: Why Are We Still Evaluating Adaptive Systems with Static Tests?
Vincent Koc
APIs, MCP, and protocols · Evals · Agent engineering
AI Engineer Europe 202624:19
Mastering AI Pricing — Mayank Pant, Stripe
Mayank Pant
Infrastructure and deployment · Evals · Enterprise
AI Engineer World's Fair 202515:20
Mastering Engineering Flow with Windsurf
Eashan Sinha
APIs, MCP, and protocols · RAG, context, and search · Coding and developer tools
AI Engineer World's Fair 202433:39
Mastering LLM Inference Optimization: From Theory to Cost-Effective Deployment
Mark Moyou
Infrastructure and deployment · Evals · Architecture
AI Engineer World's Fair 202511:31
Maximize GPU Efficiency with Continuous Profiling for GPUs
Matthias Loibl
RAG, context, and search · Infrastructure and deployment · Evals
AI Engineer World's Fair 202535:30
MCP Agent Fine-Tuning Workshop - Ronan McGovern
Ronan McGovern
APIs, MCP, and protocols · RAG, context, and search · Evals
AI Engineer World's Fair 202618:38
MCP Apps: Extending the Frontier — Ido Salomon & Liad Yosef
Ido Salomon · Liad Yosef
Enterprise · APIs, MCP, and protocols · Vision and video
AI Engineer World's Fair 202628:54
MCP Apps: Primitives, Discovery, and the Future of Software
Pietro Zullo
Agent engineering · APIs, MCP, and protocols · RAG, context, and search
AI Engineer World's Fair 202515:24
MCP is all you need
Samuel Colvin
RAG, context, and search · APIs, MCP, and protocols · Other / unclassified
AI Engineer World's Fair 202516:41
MCP Is Not Good Yet — David Cramer, Sentry
David Cramer
APIs, MCP, and protocols · Safety and governance