AI

   Building a GTM data foundation for AI starts with organizing reliable data, aligning it to revenue workflows, and creating

   In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use tools, and generate responses

   If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or

   In this tutorial, we explore how we can decode linguistic features directly from brain signals using a modern neuroAI

   The bottleneck in building better AI models has never been compute alone — it has always been data quality.

   In this tutorial, we walk through a complete, hands-on journey of post-training large language models using the powerful TRL

   Large language models are remarkably capable, yet frustratingly opaque. When a model misbehaves — generating responses in the wrong

   As artificial intelligence continues to evolve, businesses are rapidly shifting toward automation to improve efficiency and reduce operational costs.

   In this tutorial, we build the entire Agentic UI stack from the ground up using plain Python, without relying

   The team behind Kimi.ai (Moonshot AI) just made a significant contribution to the open-source AI infrastructure space. The research