Event-driven multi-agent systems are a practical architecture for working with imperfect tools in a structured way.Read More

Optimizing LLMs for Human Alignment Using Reinforcement Learning Large language models often require a further alignment phase to optimize them...

Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement Learning from Human Feedback (RLHF),...

TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo antibody design. Achieving a 16%...

Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend to perform well on familiar...

This post is divided into three parts; they are: • Why Skip Connections are Needed in Transformers • Implementation of...