Generative AI systems, such as large language models, show impressive abilities by excelling in tasks like passing medical and legal exams, solving math problems, and creating art. However, they often generate incorrect information and struggle with reasoning. Unlike humans, who learn through real-world experiences, AI learns from vast data. A new study reveals that these ...
Generative AI systems, like large language models and text-to-image generators, show impressive abilities, from acing exams required for doctors and lawyers to creating art and music. However, despite their capabilities, these AI models often produce factually incorrect information and struggle with reasoning. A recent study tested their understanding of word meanings using two-word combinations. The ...
LangChain recently conducted experiments to determine the limits of single AI agents in handling tasks. They discovered that while single agents, like the ReAct agent, can perform specific tasks such as answering questions and scheduling meetings, they can become overwhelmed when given multiple instructions or contexts. As the number of tasks increased, the agents struggled ...
