For AI models to perform well on diverse medical tasks and to meaningfully assist in clinician, researcher and patient workflows (like generating radiology reports or summarizing health information), they often require advanced reasoning and the ability to utilize specialized, up-to-date medical knowledge. In addition, strong performance requires models to move beyond short passages of text to understand complex multimodal data, including images, videos, and the extensive length and breadth o...| research.google
Fine-tuning and retrieval augmentation are time-consuming and expensive. A better way of specializing LLMs is on the horizon.| InfoWorld
Explore practical use cases of large language models, their applications in various businesses, and key considerations before adoption.| Apriorit
Benchmarks used to rank AI models are several years old, often sourced from amateur websites, and, experts worry, lending automated systems a dubious sense of authority| themarkup.org