TL;DR: The transformers vLLM backend is now as fast (or faster) than custom vLLM implementations for many LLM architectures. Model authors can automatically leverage their transformers implementations to get ultra…
Vision-language models are among the advanced artificial intelligence AI systems designed to understand and process visual and textual data together. These models are known to combine the capabilities of computer…
AI agents are moving from one-time assistants to persistent workers that can repeat tasks, monitor changes, run checks, update workflows, and return with results. Instead of prompting an LLM once…
# Introduction You have successfully set up Ollama, pulled a capable model, run a few queries in the terminal, and it worked. The responses were sharp. The latency was real….
This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in…
In this article, you will learn how the seven layers of a production AI agent stack fit together, from the foundation model down to deployment infrastructure. Topics we will cover…
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders,…
some of the problems we face in implementing AI algorithms, we usually focus on the processors’ ability to handle them. But now, NVIDIA’s GPUs power the latest large language models,…
Ant Group’s Robbyant has released LingBot-VLA 2.0, a Vision-Language-Action (VLA) foundation model for robots. The release includes a technical report, an Apache-2.0 codebase, and a…
Why agentic AI needs open data, and why synthetic data is how we scale it. Image: Nemotron Post-Training v3 Prompt Atlas More Than Model Weights Building AI agents is hard,…
