An Overview of RL Environments
Everything that happens in an RL environment between the policy update and the next rollout - verification, reward shaping, tool calling, curriculum design, ...
Recent posts
Lightweight Guide to understanding GRPO and RL principles
A beginner-friendly guide to Group Relative Policy Optimization (GRPO) training workflow without assuming prior RL knowledge.
Bridging the Three Gulfs of Agentic Development (and how they shape evals)
A practical framework for spotting and fixing evaluation blind spots in agentic LLM pipelines, based on Shankar et al.’s Three Gulfs model.
Let Agents do the talking: A Scalable Way to Evaluate Multi-Turn Chatbots
Interactive evaluations: lightweight, automated tests that use agents to measure multi-turn chatbot quality at scale.
CUDA Study Log 4: Optimizing Constrained Decoding with Triton Kernel
Update traditional CUDA matrix multiplication kernel for constrained decoding