Robust benchmarking tools are crucial for developing complex AI systems. The #MosaicAI team created an evaluation suite to stress-test RAG workflows with long contexts. See the benchmark results for new state-of-the-art models from OpenAI & Google Gemini:
@databricks
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Cost-Optimizing Chatbots with Semantic Caching on Databricks
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As businesses prepare to widely deploy chatbots into production, many are encountering a significant challenge: cost Learn how Databricks provides an optimal platform for building cost-optimized chatbots with semantic caching capabilities. https://
bit.ly/3YptydL -
Databricks reveals enterprise GenAI adoption patterns from 10000 customers
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We examined usage data from 10,000+ global Databricks customers to understand how enterprises are approaching GenAI.
— Databricks (@databricks) 8 novembre 2024
Bricksters @KobieWon & Kunal Marwah break down these insights and other findings from the State of Data + AI report with Ravit Jain. https://t.co/VzKtPFqtLx pic.twitter.com/P3nvoLmORaWe examined usage data from 10,000+ global Databricks customers to understand how enterprises are approaching GenAI. Bricksters @KobieWon & Kunal Marwah break down these insights and other findings from the State of Data + AI report with Ravit Jain. https://
dbricks.co/3UGizeZ -
AWS reinvent showcases GenAI production apps with Mastercard
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Join us at #AWSreInvent to discover the latest advancements in data intelligence! We’ll be showcasing live demos and real-life success stories, and don’t miss our joint session with Mastercard on building and deploying production-quality GenAI apps. https://
dbricks.co/3SqisDV -
DataAISummit Call For Presentations Now Open
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Are you solving real-world problems with data and AI? #DataAISummit Call For Presentations is now open! This is a great opportunity to gain valuable speaking experience and inspire your peers with practical insights + solutions. Submit your idea
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Databricks SQL: Materialized Views and Streaming Tables Now GA
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Now GA: materialized views and streaming tables on Databricks SQL. Create efficient and scalable data pipelines – from ingestion to transformation – using just Databricks SQL. Available on AWS and Azure. Learn more
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Databricks Automates LLM Inference for Unstructured Text
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Struggling with unstructured text data across millions of documents? Discover how Databricks simplifies and automates LLM inference, turning vast text into actionable insights at record speed.
— Databricks (@databricks) 4 novembre 2024
Learn more about batch inference on #MosaicAI Model Serving: https://t.co/Z64zCX64m9 pic.twitter.com/ITK2hW0i3GStruggling with unstructured text data across millions of documents? Discover how Databricks simplifies and automates LLM inference, turning vast text into actionable insights at record speed. Learn more about batch inference on #MosaicAI Model Serving: https://
dbricks.co/4eeg1vs -
Databricks Assistant: AI-Powered Data Engineering Tips
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#DatabricksAssistant is your context-aware AI assistant that lets you query data through a conversational interface. Eliminate tedium, increase productivity + immersion & accelerate time to value. How can you get the most out of AI-assisted data engineering? Read these tips.
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Databricks Launches New SQL Editor with AI Integration
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Meet the new SQL editor: streamlined & unified UI for exploratory data analysis & engineering. Key features: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, & productivity enhancements. Now in public preview https://t.co/kOoytWl8j9 pic.twitter.com/aWGHvb0dPU
— Databricks (@databricks) 2 novembre 2024Meet the new SQL editor: streamlined & unified UI for exploratory data analysis & engineering. Key features: multiple statement results, real-time collaboration, enhanced Databricks Assistant integrations, & productivity enhancements. Now in public preview https://
dbricks.co/48urOED -
Master Data Engineering Best Practices with AI Tools
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Sharpen your data engineering expertise with the latest best practices. Our Big Book of Data Engineering shares practical guidance on: Using AI tools for faster code dev Scaling ETL pipelines Implementing data governance And more: https://
dbricks.co/4hmbDNO