IMN is a pioneering market and competitive intelligence software platform designed to provide enterprises, governments, and investment teams with high-fidelity, hallucination-free insights. It works ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Large language models have been pitched as the next great leap in software development, yet mounting evidence suggests their ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Testing 500 real-world finance questions, Daloopa found accuracy gains of up to 71 percentage points when agents used an auditable financial database instead of the public web . N ...

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AI Race Reaches South Caucasus Through US-Azerbaijan Partnership. Nazrin Abdul Read more On February 10, the Azerbaijan and the US governments signed a Charter on Strategic Partnership, identifying Ar ...

On the technical side, competitiveness today is less about owning “a big model” and more about building a reliable model factory. That means strong data engineering and governance, serious evaluation ...

Architects who begin this process today will be best poised to take advantage of automated permitting as more and more ...

Every new large language model release arrives with the same promises: bigger context windows, stronger reasoning, and better benchmark performance. Then, before long, AI-savvy marketers feel a ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...