What’s new with dbt-databricks? Materialized Views Syntax to read from cloud data storage Access to advanced streaming concepts See how these features help deliver fresh, real-time insights to businesses with the simplicity of SQL and dbt: https://
bit.ly/46Z1ikr
@databricks
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dbt-Databricks: Materialized Views and Real-Time Streaming
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Two Engineers Build Bespoke LLM for Auto-Generated Documentation
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What do you get with two engineers, one month, and less than $1000? A bespoke LLM for AI-generated documentation ⭐
— Databricks (@databricks) 28 décembre 2023
Our #AI-generated documentation feature uses #LLMs to automatically generate documentation for tables and columns in #UnityCatalog👇https://t.co/BbVRgAdMkX pic.twitter.com/NFMSrpJTvDWhat do you get with two engineers, one month, and less than $1000? A bespoke LLM for AI-generated documentation Our #AI-generated documentation feature uses #LLMs to automatically generate documentation for tables and columns in #UnityCatalog https://
bit.ly/3N6Uwll -
DataAISummit 2024 Call for Proposals Now Open
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CFP is open for #DataAISummit 2024! Submit your proposal for a 20-minute lightning talk, 40-minute session, or 90-minute technical deep dive about how you are tackling data and #AI challenges. https://
bit.ly/3sOkYt0 -
Databricks CEO Showcases GenAI Data Intelligence Platform at Microsoft Ignite
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Our CEO @alighodsi took the stage at #MicrosoftIgnite to demonstrate the Databricks Data Intelligence Platform, and showcase how it brings personalized #genAI to your data through Vector Search, AI-generated metadata, a custom RAG chatbot, and more: https://
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Model Serving Unified Interface for GenAI Applications
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ICYMI: Model Serving now offers a unified interface! Now, you can create high-quality #GenAI apps using the best model for your use case while securely leveraging your organization's unique data. See how
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NVIDIA TensorRT-LLM Integration Achieves State-of-the-Art Inference
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For the last six months, we've been collaborating with @nvidia to integrate TensorRT-LLM with our inference service, achieving state-of-the-art inference performance. Read how we did it together and how you can benefit from our collab https://
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Databricks AI Predictive Optimization Enhances Data Performance
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Databricks Predictive Optimization helps you optimize your table data layouts with #AI for improved performance and cost-efficiency. Discover how it can free up your time to focus on getting business value from your data. Now in public preview https://
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Databricks Azure Confidential Computing Data Platform GA
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Build an end-to-end data platform with confidentiality and privacy on Databricks with Azure confidential computing support! Now GA, take a look at the advantages of this integration and its key features https://
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Python UDTFs in Apache Spark 3.5 and Databricks Runtime
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#ApacheSpark 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python UDTFs This new feature can generate multiple rows and columns, while leveraging the rich Python ecosystem. Learn how it works
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MLflow 2.8 LLM-as-a-Judge Evaluation for RAG Applications
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Get out-of-the-box metrics like latency, tokens and more, using #MLflow 2.8 with LLM-as-a-judge Discover how it can save you time and money and best practices for #LLM evaluation in RAG applications https://
bit.ly/3FHCWAg