Author: Manoj Balakrishnan

   Understanding Limitations of Current Reward Models Although reward models play a crucial role in Reinforcement Learning from Human Feedback

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

   Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that

   In this tutorial, we explore how to build an intelligent and self-correcting question-answering system using the DSPy framework, integrated

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

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

   Kyutai, an open AI research lab, has released a groundbreaking streaming Text-to-Speech (TTS) model with ~2 billion parameters. Designed

   Water is among the gifts we disregard until supplies dwindle or get polluted. This precious resource is used to

   The emergence of generative AI is transforming the data science profession. As tools like ChatGPT and Copilot automate routine

   Gone are the days when you had to master coding or hire a professional web designer to bring your