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Join us for the return of the Databricks Learning Festival (Virtual)! Mark your calendars from 15 January - 31 January 2025! Upskill today across data engineering, data analysis, machine learning, and generative AI. Join the thousands who have el...
We are thrilled to announce that DatabricksTV, our growing video hub, has hit a major milestone: 100 videos and counting! What is DatabricksTV?DatabricksTV is a community-driven video hub designed to help data practitioners maximize the Databricks e...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperfo...
Meet Sujesh Menon, a valued member of our community! Sujesh is a Senior Data Engineer at Glanbia, Plc. He brings a wealth of knowledge and expertise to the group, and we are thrilled to have him here. We presented him with a range of questions, and...
Dotmatics and Databricks have joined forces to empower life sciences researchers with transformative tools that accelerate therapeutic discoveries. This strategic partnership brings together: Dotmatics Lumaâ„¢ Scientific Intelligence Platform, built on...
Introduction In the rapidly evolving financial service industry, the ability to efficiently handle customer interactions is paramount. The call center, often the first point of contact for customers, ...
At this past year’s Data and AI Summit we launched an event focused chatbot called Brickbot. When we conceived the project, we had high ambitions of an intelligent and omniscient multimodal agent that...
This is part 2 of a two-part series on Structured Extraction with LLM on Databricks. Read here for part 1! Introduction In part 1 of this series, I demonstrated how to use a large language model (LL...
This blog talks about common ways in which Hive-style partitioning is used as a workaround for efficient data storage. Liquid Clustering improves partitioning and zorder techniques by simplifying data...
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