Author: Manoj Balakrishnan

   Improving the reasoning capabilities of large language models (LLMs) without architectural changes is a core challenge in advancing AI

   Over the past decade, enterprises have gradually evolved from being reactive data consumers to proactive intelligence systems. AI adoption

   When we first land in the Codex environment, it feels like stepping into a co-pilot’s seat for coding. Codex

   Reward models are fundamental components for aligning LLMs with human feedback, yet they face the challenge of reward hacking

   Understanding the Limits of Current Interpretability Tools in LLMs AI models, such as DeepSeek and GPT variants, rely on

   TNG Technology Consulting has unveiled DeepSeek-TNG R1T2 Chimera, a new Assembly-of-Experts (AoE) model that blends intelligence and speed through

   In this tutorial, we implement the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical

   Predictive AI can identify regions in Texas where accidents are more likely to occur by analyzing patterns from historical

   You’ve likely noticed how quickly trends shift in social media, and that’s where predictive analytics comes in. By leveraging

   Together AI has released DeepSWE, a state-of-the-art, fully open-sourced software engineering agent that is trained entirely through reinforcement learning