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 ...

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

LEWES, Del., March 20, 2025 (GLOBE NEWSWIRE) -- John Snow Labs, the AI for healthcare company, today announced Medical LLM Reasoner, the first commercially available healthcare-specific reasoning ...

By Tarun Sai Lomte A new AI-driven diagnostic framework combines clinical, genetic, and phenotypic data to help shorten the ...

Local models work best when you meet them halfway ...

Jim Fan is one of Nvidia’s senior AI researchers. The shift could be about many orders of magnitude more compute and energy needed for inference that can handle the improved reasoning in the OpenAI ...

LLM stands for Large Language Model. It is an AI model trained on a massive amount of text data to interact with human beings in their native language (if supported). LLMs are categorized primarily ...

Anthropic's Claude Opus 4.6 surfaced 500+ high-severity vulnerabilities that survived decades of expert review. Fifteen days ...

A 9-language interface and LLM Selector expand global accessibility while giving enterprises greater control over AI ...