This book review summarizes "A Practical Guide to Reinforcement Learning from Human Feedback" by Sandip Kulkarni, which covers the full RLHF pipeline from classical reinforcement learning to modern me…
The author redesigned their personal website in two waves, first adding infrastructure improvements like full-text search, dark mode support, and structured data, then overhauling content and layout u…
HACRL (Heterogeneous Agent Collaborative Reinforcement Learning), a method where multiple AI models of different sizes and capabilities share successful training trajectories to learn from each other,…
DroPE, a method that removes positional embeddings from pretrained large language models (LLMs) after training to enable zero-shot generalization to sequences far longer than their original training c…
The Kimi k2.5 is an open-source multimodal AI model with 1 trillion parameters that uses joint pre-training and reinforcement learning to integrate text and vision natively, rather than adding vision …
PaperBanana, an agentic framework that automates the creation of publication-ready academic illustrations for AI scientists by coordinating specialized agents for reference retrieval, planning, stylin…