Articles

  • 2 weeks ago | databricks.com | Hanlin Tang |Akhil Gupta |Patrick Wendell |Naveen Rao

    Last year, we unveiled data intelligence – AI that can reason on your enterprise data – with the arrival of the Databricks Mosaic AI stack for building and deploying agent systems. Since then, we’ve had thousands of customers bring AI into production. This year at the Data and AI Summit, we are excited to announce several key products:Agent Bricks in BetaAgent Bricks is a new way to build high-quality agents that are auto-optimized on your data.

  • Dec 16, 2024 | neurotechnology.substack.com | Naveen Rao

    The stocking is stuffed with notables from the commercial frontier. This holiday season, eggnog and ugly sweaters are optional; Innovation is not.

  • Dec 11, 2024 | databricks.com | Andrew Ferguson |Steve Sobel |Patrick Wendell |Naveen Rao

    We are pleased to announce the winners of the Databricks Generative AI Startup Challenge, a competition held in collaboration with AWS to showcase the most innovative early-stage startups leveraging Generative AI on the Databricks Data Intelligence Platform. Our winners emerged from a strong group of applicants following a rigorous evaluation process by our panel of judges.

  • Dec 2, 2024 | neurotechnology.substack.com | Naveen Rao

    Welcome back to Neurotech Notables, a biweekly roundup of commercial news, views, and curated resources from the neurotechnology frontier. The holiday homestretch! You’ll find several new funding opportunities and other signal-to-noise stocking stuffers below. Migrating from X to Bluer Skies? See these starter packs for Neurotech and BCI and please say hi.

  • Nov 26, 2024 | databricks.com | Ananya Roy |Patrick Wendell |Naveen Rao |Execute It.'

    Large language models are revolutionizing how we interact with technology by leveraging advanced natural language processing to perform complex tasks. In recent years, we have seen state-of-the-art LLM models enabling a wide range of innovative applications. Last year marked a shift toward RAG (Retrieval Augment generation), where users created interactive AI Chatbots by feeding LLMs with their organizational data (through vector embedding).

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