As enterprises rely more heavily on AI integration to compile research and summarize things like meetings and email threads, the need for contextual search has become increasingly important. AI startup Cohere has released Embed 4 to make the task easier. Embed 4 is a multimodal embedding model that transforms text, images and mixed data (like PDFs, slides or tables) into numerical representations (or “embeddings”) for tasks including semantic search, retrieval-augmented generation (RAG) and classification. Supporting over 100 languages, Embed 4 has an extremely large context window of up to 128,000 tokens. Continue reading Cohere’s Multimodal Embed Model Organizes Enterprise Data

Microsoft has unveiled a new AI model called Muse that can generate game visuals and controller actions and understands 3D space. The new model can create complex gameplay sequences with accurate physics and character behaviors. Classified by Microsoft as the first World and Human Action Model (WHAM), Muse was trained from over seven years’ worth of human gameplay data from the Xbox game “Bleeding Edge,” published by UK-based Microsoft Games subsidiary Ninja Theory. Muse can, in addition to game goals, provide research insights to support all sorts of creative use of generative AI, Microsoft says. Continue reading Muse Could Be a Gamechanger for Xbox Players, Developers