Today, companies are constantly seeking innovative ways to enhance their digital presence and streamline operations. One strategy that has gained considerable momentum is the ...

The new framework provides a structured approach for organisations to assess, benchmark, and plan effective large-scale AI ...

INDIANAPOLIS--(BUSINESS WIRE)--The Consortium for State and Regional Interoperability (CSRI), a collection of the nation’s largest and most robust nonprofit health data networks, announced today the ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Imagine trying to navigate the digital transformation of your business using a compass that only points to "somewhere north." That's essentially what we've been doing with AI assessment until now.

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.