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Content

Total articles 80

• Available on paid plans

  The Power of Fine-Tuning on Your Data: Quick Fixing Bugs with LLMs via Never Ending Learning (NEL)

  By Dipendra Misra, Matei Zaharia, Emanuel Zgraggen, Ta-Chung Chi

  Apr. 08, 2025

• Available on paid plans

  WARP: An Efficient Engine for Multi-Vector Retrieval

  By Jan Luca, Matei Zaharia, Christopher Potts, Gustavo Alonso

  Jan. 29, 2025

• Available on paid plans

  The Power of Fine-Tuning on Your Data: Quick Fixing Bugs with LLMs via Never Ending Learning (NEL)

  By Dipendra Misra, Matei Zaharia, Emanuel Zgraggen, Ta-Chung Chi

  Apr. 08, 2025

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Company Info

Databricks

Databricks, founded in 2013 by a team of experts from UC Berkeley’s AMPLab, is headquartered in San Francisco and operates globally. The company focuses on simplifying data and AI workflows through its unified platform, which combines data lakes and warehouses into a lakehouse architecture. This approach allows organizations to manage both structured and unstructured data effectively. The core offerings of Databricks include a Unified Analytics Platform that integrates data engineering, machine learning, and collaborative tools, all built on Apache Spark for large-scale data processing. Additionally, the company provides Delta Lake, an open-source storage layer that ensures data reliability, and MLflow, a platform for managing the machine learning lifecycle. Databricks also features a Marketplace for data sharing and third-party integrations. Databricks serves enterprises across various industries, including finance, healthcare, and technology, and collaborates with over 1,200 global partners, including major cloud providers and consulting firms. The company's mission is to democratize data and AI, fostering collaboration among data scientists, engineers, and business teams.