Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

What if the next generation of AI systems could not only understand context but also act on it in real time? Imagine a world where large language models (LLMs) seamlessly interact with external tools, ...

Imagine binge-watching a TV series, but you can only remember one episode at a time. When you move on to the next episode, you instantly forget everything you just watched. Now, imagine you can ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

Forbes contributors publish independent expert analyses and insights. Jason Alan Snyder is a technologist covering AI and innovation. An invisible protocol for AI is quietly replacing apps, search, ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

Working Context: This is basically what is in the context window at the current moment; you should constantly make summaries ...

Inworld AI launches Realtime TTS-2, a new generation of voice model built to evolve how AI agents handle realtime conversation. The model is able to understand the full context of conversations and ...