AI agents are beginning to automate routine work across every profession, changing how jobs are structured and where humans ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

A live-streamed experiment puts rival AI systems in a shared digital house to see how they collaborate, clash and ...

In my experience, the deployment of agentic AI systems can help speed up decision making, improve the fine-tuning of ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

Large language models (LLMs), artificial intelligence (AI) systems that can process and generate texts in various languages, ...

Zencoder believes its agent-agnostic approach gives it a crucial advantage over much bigger rivals such as OpenAI, Anthropic ...

The researchers found single AI agents do better at sequential tasks, multi-agent workflows at ones that can be done in ...

The Nemotron 3 lineup includes Nano, Super and Ultra models built on a hybrid latent mixture-of-experts (MoE) architecture.

Anthropic releases its Agent Skills framework as an open standard, with Microsoft, OpenAI, Atlassian, and Figma already ...