Why smaller, domain-trained AI models outperform general-purpose LLMs in enterprise settings.

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and ...

Government agencies often hit speed bumps when they try adopting data-driven decision models. Instead, they should use an AI-driven analytics system powered by a knowledge model to sort through data.

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and ...

This past January heralded the 2024 World Economic Forum (WEF) meeting in Davos, Switzerland. If there was one unrelenting and ubiquitous theme that I noticed while attending the WEF meeting, it was ...

Researchers warn model collapse when AI trains on AI text; “photocopying a photocopy” leads to less varied outputs.

The new availability of huge amounts of data, along with the statistical tools to crunch these numbers, offers a whole new way of understanding the world. Correlation supersedes causation, and science ...