Exploring the frontiers of artificial intelligence, sharing research insights, and discussing the future of technology.
Diving deep into our research on web agent benchmarking and what we learned about AI's ability to navigate complex web environments. How we achieved 76% reliability and what comes next.
A practical guide to implementing Generalized Reinforcement Learning Policy Optimization on GPU clusters. Performance insights from training on NVIDIA H200 systems.
Architectural patterns and best practices for deploying machine learning workloads at scale. From development to production with automated CI/CD pipelines.
Insights from my research under Prof. Stephen Boyd on applying convex constraints to RL problems. Mathematical foundations and practical applications.
The journey of building agisdk from a research project to a production tool used by major tech companies. Product-market fit in the AI space.
A comprehensive guide to building sophisticated AI applications using LangGraph. From basic concepts to advanced multi-agent systems.