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

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

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

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

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

With Visual Studio Code 1.107, developers can use GitHub Copilot and custom agents together and delegate work across local, background, and cloud agents.

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

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Nvidia’s latest generation of open models builds on the growing development of multi-agent systems and expands the company’s ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Artificial intelligence (AI) is increasingly integral to everyday business and life. In a relatively short time, it’s advanced from simple rule-based systems to complex machine-learning models that ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...