How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...

Every Ling 2.0 model uses the same sparse Mixture of Experts layer. Each layer has 256 routed experts and one shared expert. The router picks 8 routed experts for every token, the shared expert is ...

Can an open source MoE truly power agentic coding workflows at a fraction of flagship model costs while sustaining long-horizon tool use across MCP, shell, browser, retrieval, and code? MiniMax team ...

What is new in Granite 4.0 Nano series? Granite 4.0 Nano consists of four model lines and their base counterparts. Granite 4.0 H 1B uses a hybrid SSM based architecture and is about 1.5B parameters.

Can we render long texts as images and use a VLM to achieve 3–4× token compression, preserving accuracy while scaling a 128K context toward 1M-token workloads? A team of researchers from Zhipu AI ...

The research introduced a two-phase training process. First, they used supervised fine-tuning (SFT) on high-quality trajectories sampled from Claude-4 Sonnet using rejection sampling, effectively ...

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

AI companies use model specifications to define target behaviors during training and evaluation. Do current specs state the intended behaviors with enough precision, and do frontier models exhibit ...

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 ...

The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, has rapidly become the cross-cloud standard for connecting AI agents to tools, services, and data across the enterprise ...

The Model Context Protocol (MCP) team has released the preview version of the MCP Registry, a system that could be the final puzzle piece for making enterprise AI truly production-ready. More than ...

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 ...