LLMDAY

Everyone is racing to build stronger AI agents. But a harder question is how to make them economically viable at scale. The industry tends to focus on...

Most discovery processes optimize for documentation, not learning. We'll show a different approach: the Superhero Formula applied with AI tooling. Liv...

This talk will explore interesting phenomena that emerge during the finetuning of large language models (LLMs): subliminal learning, emergent misalign...

Good evaluation helps understand what large language models really do. This talk gives a simple overview of how large language models are evaluated in...

While AI agents have moved past the initial hype cycle, achieving efficient, production-ready implementation can remain a significant hurdle for organ...

Composed LLM apps fail when components violate contracts. The fix: a unified interface for LLM and code, so you can harden boundaries into determinist...

Last year, I published Paddler, an open-source LLM load balancer. A year of community feedback and building Poet (a static site generator with AI feat...

As generative AI pushes deeper into enterprise workflows, the need for flexible, cost-efficient, and controllable deployment is stronger than ever. Th...

LLM prototype is easy, building robust product is hard. And it's as much about people as about tech. To deliver AI to production we need to aligning t...

Coming soon

Coming soon

LLMs keep improving, but scaling alone runs into real limits when you need grounded physical understanding, long-horizon planning, and reliable action...

Model Context Protocol (MCP) has rapidly become the backbone of modern LLM applications, enabling powerful multi-tool and multi-app workflows. But wit...

This is a hands-on introduction to Harbor, an open source framework designed for AI agent evaluation, creating benchmarks, and reinforcement learning....

This is a hands-on introduction to Harbor, an open source framework designed for AI agent evaluation, creating benchmarks, and reinforcement learning....

Production changes everything. Your GenAI application that worked perfectly in testing now faces real-world challenges: unexpected load patterns, mode...

Every LLM demo looks magical. Then reality hits: hallucinations, edge cases, user trust erosion. This talk presents case studies on what it actually t...

Retrieval-Augmented Generation (RAG) has become the standard approach in developing enterprise AI applications. However, as real-world tasks become mo...

This session will offer insights into practical examples of deploying SLMs on edge devices from mobile phones to cars. We will take a look at framewor...

Stop shipping on vibes. Add lightweight, in-loop eval gates that decide iterate or proceed—so bad retrievals retry automatically and bad answers never...

How many times were you woken up during the night to either spend more time than you would like trying to figure out what exactly broke, or get frustr...