Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have demonstrated remarkable capabilities in answering ...

Truthfulness and grounding in reality are part of a larger and more general concern about safe AI models. The very pace of ...

In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

Large language models can uphold falsehoods they or human users state, despite being presented with evidence to the contrary.

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...