As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
But he might just as easily be describing the quiet conviction — held now by a growing number of founders, developers and ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
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