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 ...

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 ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

One of the most common queries we have with clients today revolves around artificial intelligence: where do we begin? Do we start with the data, or do we start by reinventing our processes? It’s a ...

Hiya, folks, welcome to TechCrunch’s regular AI newsletter. If you want this in your inbox every Wednesday, sign up here. This week in AI, synthetic data rose to prominence. OpenAI last Thursday ...