How do we safely let an AI agent handle real web tasks like booking, searching, and form filling directly on our own devices without sending everything to the cloud? Microsoft Research has released ...

Most production systems need several model sizes, a larger model for server side workloads, a mid size model for strong edge GPUs, and a smaller model for tight latency or power budgets. The usual ...

Tencent Hunyuan has released HunyuanOCR, a 1B parameter vision language model that is specialized for OCR and document understanding. The model is built on ...

Production LLM serving is now a systems problem, not a generate() loop. For real workloads, the choice of inference stack drives your tokens per ...

What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human ...

Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite their impressive capabilities, LLMs are ...

At the center of this release is the evolution of RAG architectures. Traditional RAG pipelines typically involve static queries to vector stores followed by synthesis via large language models.

Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained ...

Git is a distributed version control system that helps you track changes in your code, collaborate with others, and maintain a history of your project. Git Bash is a terminal application for Windows ...

Generative AI is a part of Artificial Intelligence capable of generating new content such as code, images, music, text, simulations, 3D objects, videos, and so on. It is considered an important part ...

Large language models (LLMs) have demonstrated remarkable capabilities in single-agent tasks such as question answering and structured reasoning. However, the ability to reason collaboratively—where ...

Embodied AI agents are increasingly being called upon to interpret complex, multimodal instructions and act robustly in dynamic environments. ThinkAct, presented by researchers from Nvidia and ...