Recent advances in reasoning-centric large language models (LLMs) have expanded the scope of reinforcement learning (RL) beyond narrow, task-specific applications, enabling broader generalization and reasoning capabilities. However, this shift introduces significant challenges, particularly in scaling the training compute required for…

NVIDIA has introduced Llama Nemotron Nano VL, a vision-language model (VLM) designed to address document-level understanding tasks with efficiency and precision. Built on the Llama 3.1 architecture and coupled with a lightweight vision encoder, this release targets applications requiring accurate…

In this tutorial, we introduce an advanced, interactive web intelligence agent powered by Tavily and Google’s Gemini AI. We’ll learn how to configure and use this smart agent to seamlessly extract structured content from web pages, perform sophisticated AI-driven analyses,…

Despite recent progress in robotic control via large-scale vision-language-action (VLA) models, real-world deployment remains constrained by hardware and data requirements. Most VLA models depend on transformer-based backbones with billions of parameters, resulting in significant memory and compute costs. This limits…

OpenAI has announced a set of targeted updates to its AI agent development stack, aimed at expanding platform compatibility, improving support for voice interfaces, and enhancing observability. These updates reflect a consistent progression toward building practical, controllable, and auditable AI…