When we build database-backed enterprise applications, we generally want to isolate our entity models, the DbContext, and the logic for database initialization and migration to maintain a clean ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

“Knowledge is power,” and today’s businesses have access to more knowledge, in the form of digital data, to power their growth than ever before. Establishing a data-first corporate culture is key to ...

Built on AWS, an Asia-led initiative is testing a new way to detect outbreaks earlier by sharing intelligence across borders ...