Google is testing podcast-like audio search summaries generated by AI. Audio Overviews uses Google’s latest Gemini models to generate “quick, conversational audio overviews for certain search queries.” It can be enabled through Google Labs, the company’s public-facing portal to AI experiments. An Audio Overview “can help you get a lay of the land, offering a convenient, hands-free way to absorb information,” Google says, noting that the feature displays search results “right within the audio player” to make it easy to delve further. Google already had AI audio summaries in NotebookLM and Gemini. Like those, Search features AI discussion “hosts.” Continue reading Google Is Testing ‘Hosted’ GenAI Audio Summaries in Search

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