As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
Researchers test two ways to reverse engineer the LLM rankings of Claude 4, GPT-4o, Gemini 2.5, and Grok-3. Researchers ...
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Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
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 ...
Many of us think of reading as building a mental database we can query later. But we forget most of what we read. A better analogy? Reading trains our internal large language models, reshaping how we ...
When your AI assistant calculates revenue, bonuses, VAT or financial summaries, it isn’t doing math. It’s telling a convincing story about numbers.
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...
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.
A large language model delivered high sensitivity and specificity in analyzing electronic health records of patients for ...
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.
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