Topics

Curated reading paths for the recurring themes on this site.

• LLM Agents

  Tool use, agent runtime design, evaluation, context, and production patterns for systems that act across tools and environments.

• Evaluation

  Practical approaches to measuring model and agent capability with deterministic checks, rubrics, trajectories, and verifiable outcomes.

• Post-Training

  SFT, RLHF, preference optimization, instruction following, reasoning traces, and data pipelines for shaping model behavior after pretraining.

• RLHF and Preference Optimization

  Engineering notes and research synthesis on PPO, DPO, GRPO, reward modeling, preference data, and model behavior optimization.

• Generative UI

  How AI systems can produce, steer, and execute user interfaces with structured representations and practical product constraints.