After a model’s initial training on a large corpus of mostly Internet-derived data, Anthropic follows a post-training process intended to nudge the final model toward being “helpful, honest, and ...

Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move ...

Artificial intelligence systems like ChatGPT, which are trained on vast amounts of online content, are reshaping the digital ecosystem in ways that raise serious concerns. Platforms such as Stack ...

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic. Provided byMistral AI In the early days of large language models (LLMs), we ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them from scratch. Ask ChatGPT a straightforward question about how to build a ...

AI adoption has accelerated at a pace few technology shifts can match. In just a short time, AI model capability has improved sharply, costs have come down and entirely new product experiences have ...

Revealed at GTC 2026, the leader-follower imitation learning platform captures force, motion, and visual data directly on production hardware, closing the gap between AI research labs and factory ...

EXCLUSIVE: Next-gen entertainment firm Doodles has trained an AI model using only images from its own original character library and illustrations, and is now planning a feature film based on the ...

Microsoft on Tuesday released Phi-4-reasoning-vision-15B, a compact open-weight multimodal AI model that the company says matches or exceeds the performance of systems many times its size — while ...

Cisco’s open-source Model Provenance Kit helps organizations verify AI model origins, trace lineage, and reduce AI supply chain security risks. Organizations are rapidly adopting AI models, but many ...

Researchers have developed a method to reduce uncertainty in artificial intelligence (AI) systems by tapping into the power of quantum computers. They say their work represents the first demonstration ...