AI Engineer
Talks, workshops, events, and training for AI Engineers.
Channel created: September 19, 2023
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Playground in Prod: Optimising Agents in Production Environments — Samuel Colvin, Pydantic
Deploying an agent is only the start. In this workshop, Samuel Colvin shows how to improve agents after they are already live, using Pydantic AI and Logfire to change prompts, models, and other par...
Vibe Engineering Effect Apps — Michael Arnaldi, Effectful
What if the best way to get coding agents to use a library well is not better prompts, but giving them the library's actual code? In this workshop, Michael Arnaldi walks through a practical approac...
Everything You Need To Know About Agent Observability — Danny Gollapalli and Ben Hylak, Raindrop
Agent failures do not look like normal software failures. In this workshop, the Raindrop team breaks down what it actually takes to monitor production agents, from explicit signals like tool errors...
Skills at Scale — Nick Nisi and Zack Proser, WorkOS
Chat interfaces are no longer limited to walls of text. In this talk, Liad Yosef and Ido Salomon explain how MCP Apps turn tools into interactive UI inside hosts like ChatGPT, Claude, VS Code, Curs...
The Multi-Agent Architecture That Actually Ships — Luke Alvoeiro, Factory
Everyone's building multi-agent systems, but nobody agrees on how. This talk proposes a taxonomy of five frontier multi-agent strategies and shows what happens when you compose them into a single a...
MCP UI: Extending the frontier — Liad Yosef and Ido Salomon, MCP Apps
Chat interfaces are no longer limited to walls of text. In this talk, Liad Yosef and Ido Salomon explain how MCP Apps turn tools into interactive UI inside hosts like ChatGPT, Claude, VS Code, Curs...
The Small Model Infrastructure Nobody Built (So We Did) — Filip Makraduli, Superlinked
Most embedding infrastructure assumes you know exactly which model you want ahead of time. This talk starts where that assumption breaks. Filip Makraduli walks through the real profiling mistakes, ...
Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMind
As models get smaller and more capable, more AI workloads can move onto the device itself. In this talk, Chintan Parikh from Google DeepMind walks through what that looks like in practice, from Gem...
Demand-Driven Context: A Methodology for Coherent Knowledge Bases Through Agent Failure
Enterprise teams spend a lot of time trying to guess what AI agents need to know. This workshop flips that around. Instead of curating context top-down, Raj Navakoti shows how to build a demand-dri...
Training an LLM from Scratch, Locally — Angelos Perivolaropoulos, ElevenLabs
Training an LLM from scratch on a local machine sounds unreasonable, until it isn't. In this workshop, Angelos Perivolaropoulos from ElevenLabs walks through what it actually takes to train a langu...