UX for Agents, Part 1: Chat At Sequoia’s AI Ascent conference in March, I talked about three limitations for agents: planning, UX, and memory. Check out that talk here. In
Planning for Agents The fourth installment in our "In the Loop Series," in which we talk about what planning means for an agent and how to improve it.
Why you should outsource your agentic infrastructure, but own your cognitive architecture In this third installment in our "In The Loop" series, learn why you should tailor your cognitive architecture to be application-specific, alongside running better infrastructure for your agentic apps.
What is a "cognitive architecture"? The second installment in our "In the Loop" series, focusing on what cognitive architecture means.
Aligning LLM-as-a-Judge with Human Preferences Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
Winning in AI means mastering the new stack Authors: Edo Liberty, Guillermo Rauch, Ori Goshen, Robert Nishihara, Harrison Chase AI in 2030 AI is rapidly changing. Too rapidly for most. Ten years ago
OpenAI's Bet on a Cognitive Architecture Three weeks ago OpenAI held a highly anticipated developer day. They released a myriad of new features. The two most interesting to me were the
