Language technology has grown fast, but it still feels frustrating at times. Maybe your virtual assistant misunderstands commands, or translation tools miss the tone of a sentence. These gaps can ...

Forbes contributors publish independent expert analyses and insights. Hessie Jones is a strategist, entrepreneur and investor covering AI Large language models have emerged as a transformative ...

When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024, it promised to solve one of the most persistent integration challenges in artificial intelligence. Before then, connecting ...

In the AI wars, where tech giants have been racing to build ever-larger language models, a surprising new trend is emerging: small is the new big. As progress in large language models (LLMs) shows ...

According to analyst Gartner, small language models (SLMs) offer a potentially cost-effective alternative for generative artificial intelligence (GenAI) development and deployment because they are ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world. Tesla’s viral videos show its Optimus humanoid robot serving ...

The real victory won't be in the size of the model, but in the ability to finally make it work for the person in the field.

Large language models (LLMs) use vast amounts of data and computing power to create answers to queries that look and sometimes even feel “human”. LLMs can also generate music, images or video, write ...

Sometimes the best way to solve a complex problem is to take a page from a children’s book. That’s the lesson Microsoft researchers learned by figuring out how to pack more punch into a much smaller ...