Data science, career and other topics
06 April 2026
A review of Sandip Kulkarni book on RLHF, covering its strengths as a structured learning resource, its reliance on both older an newer models, and who will benefit most from reading it.
23 March 2026
A practical walkthrough of redesigning a Jekyll personal website — adding search, dark mode, structured data, and a full card-based redesign using Claude Code. What changed, what broke, and what it is like to iterate on a site with an AI coding assistant.
16 March 2026
HACRL proposes a new paradigm for reinforcement learning - instead of training models in isolation, multiple agents collaborate by sharing successful trajectories during training. This simple idea enables more efficient exploration and improves performance across heterogeneous models.
23 February 2026
A review of DroPE, a simple but counterintuitive method that extends LLM context length by dropping positional embeddings at inference and achieves strong zero-shot long-context generalization without retraining.
16 February 2026
A deep-dive review of Kimi K2.5, a next-generation open multimodal model that combines native vision-language training with parallel agent orchestration. This post explains why Agent Swarm and joint multimodal optimization matter and how K2.5 meaningfully differs from today's top closed and open models.
09 February 2026
My review of the paper PaperBanana Automating Academic Illustration for AI Scientists
