Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Discover how to build a homemade rubber band-powered paper airplane in this easy and engaging tutorial. We’ll guide you step-by-step as you craft the frame with skewers, add aerodynamic paper wings, ...

Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

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.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...