Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Fundamental, which just closed a $225 million funding round, develops "large tabular models" (LTMs) for structured data like ...
Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of ...
Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...
Small Language Models (SLMs) are computationally efficient, easier to fine-tune, and can run on local hardware like smartphones.
Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
While AI presents a significant opportunity to further the way we do business, what if it’s time to consider a new direction?
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
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 ...
How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...
A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...
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