AI Engineer

ChatGPT is poorly designed. So I fixed it

Effective AI Agents Need Data Flywheels, Not The Next Biggest LLM – Sylendran Arunagiri, NVIDIA

open-rag-eval: RAG Evaluation without "golden" answers — Ofer Mendelevitch, Vectara

Designing AI To Scale Human Thought — Jun Yu Tan, Tusk

The Future of Qwen: A Generalist Agent Model — Junyang Lin, Alibaba Qwen

Creating Agents that Co-Create — Karina Nguyen, OpenAI

How to Build Your Own AI Data Center in 2025 — Paul Gilbert, Arista Networks

Function Calling is All You Need — Full Workshop, with Ilan Bigio of OpenAI

Ensure AI Agents Work: Evaluation Frameworks for Scaling Success — Aparna Dhinkaran, CEO Arize

Aparna Dhinkaran, one of the founders of Arise, discusses the importance of evaluating AI agents and assistants, especially as they move into production and multimodal applications like voice. She breaks down the components of an agent—router, skills, and memory—explaining how each functions and can be evaluated. Using...

The missing pieces of workflow automation — Shirsha Chaudhuri, Thomson Reuters Labs

Evaluating Domain Specific LLMs for Real World Finance — Waseem Alshikh, Writer

The Devops Engineer Who Never Sleeps — Diamond Bishop, Datadog

Self Coding Agents — Colin Flaherty, Augment Code

Vercel AI SDK Masterclass: From Fundamentals to Deep Research

Frontier Feud: Anthropic, Google DeepMind, Meta FAIR, Thinking Machines — Barr Yaron, Amplify

AI + Security & Safety — Don Bosco Durai

Stateful Agents — Full Workshop with Charles Packer of Letta and MemGPT

Voice Agent Engineering — Nik Caryotakis, SuperDial

Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil

In this presentation, Sayash Kapoor discusses the current state of AI agents, highlighting the gap between ambitious visions and real-world performance. He identifies three key reasons for this discrepancy: the difficulty of evaluating agents, the misleading nature of static benchmarks, and the confusion between capabi...

Building LinkedIn's GenAI Platform — Xiaofeng Wang

LinkedIn's journey in building a GenAI platform is shared, emphasizing its critical role in today's agent-driven world. The platform evolved from supporting simple prompt-in, string-out applications like Collaborative Articles to more complex systems like the LinkedIn Hire Assistant, a multi-agent system for recruiters...