Multi-agent systems (MAS), teams of large language models (LLMs), are revolutionizing AI by enabling them to collaborate, solve complex tasks, and exhibit human-like reasoning. MAS can perform tasks such as planning trips, defusing bombs, and negotiating prices more efficiently and less prone to error than individual LLMs. These systems have attracted commercial interest, with companies like Microsoft incorporating MAS into their AI assistants. However, MAS also poses challenges, such as computational intensity and the potential for malicious use.
Results for: AI assistants
Meta unveils Llama3, a powerful AI assistant that surpasses competitors in benchmarks. Built on the Llama3 model, Meta AI assistant is now available on Meta’s platforms and website, offering users the ability to accomplish tasks, learn, create, and connect in a conversational manner. While other LLM vendors offer similar services, Meta’s open source approach promotes industry growth and trust in its tools, potentially eclipsing competitors with less transparent models. Additionally, Meta’s dominance in consumer-facing platforms positions it as a leading player in the consumer LLM market.