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

Results from the first MLC-SLM Challenge showed that Speech LLMs have achieved strong performance in speech recognition, while there remains significant room for further exploration in speaker ...

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 ...

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 ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

When you ask a large language model a question, the reply may include falsehoods, and if you challenge those statements with ...