In this tutorial, we walk you through the design and implementation of a custom agent framework built on PyTorch and key Python tooling, ranging from web intelligence and data science modules to advanced code generators. We’ll learn how to wrap…
The Challenge of Scaling 3D Environments in Embodied AI Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on manually designed 3D graphics, which are costly and lack realism,…
Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in supersonic or hypersonic regimes, poses unique challenges due to the rapid changes associated with shock waves and expansion fans. Unlike low-speed flows, where fixed…
The debate around the reasoning capabilities of Large Reasoning Models (LRMs) has been recently invigorated by two prominent yet conflicting papers: Apple’s “Illusion of Thinking” and Anthropic’s rebuttal titled “The Illusion of the Illusion of Thinking”. Apple’s paper claims fundamental…
Google’s Magenta team has introduced Magenta RealTime (Magenta RT), an open-weight, real-time music generation model that brings unprecedented interactivity to generative audio. Licensed under Apache 2.0 and available on GitHub and Hugging Face, Magenta RT is the first large-scale music…
The DeepSeek Researchers just released a super cool personal project named ‘nano-vLLM‘, a minimalistic and efficient implementation of the vLLM (virtual Large Language Model) engine, designed specifically for users who value simplicity, speed, and transparency. Built entirely from scratch in…
The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s MCP Gateway addresses this need by providing a FastAPI-based gateway for the Model Context Protocol (MCP), offering…
Multimodal LLMs: Expanding Capabilities Across Text and Vision Expanding large language models (LLMs) to handle multiple modalities, particularly images and text, has enabled the development of more interactive and intuitive AI systems. Multimodal LLMs (MLLMs) can interpret visuals, answer questions…
With the frequent release of new large language models (LLMs), there is a persistent quest to minimize repetitive errors, enhance robustness, and significantly improve user interactions. As AI models become integral to more sophisticated computational tasks, developers are consistently refining…
In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to enable nested event loops, then configure your Gemini API…
