Llama 2 #GenAI models are now available on Databricks Marketplace! Enjoy access to Llama 2’s chat-oriented #LLMs with centralized governance and lineage tracking, easily usable through MLflow. Deploy it on LLM-optimized GPU endpoints in just one click
@databricks
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Hitchhiker’s Guide to Delta Lake Streaming Best Practices
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Take full advantage of streaming with the Hitchhiker’s Guide to #DeltaLake Streaming!
At #DataAISummit, industry experts shared best practices for working with streaming data. Watch the on-demand session to learn more -
Databricks Repos Enhances Git Merge Rebase and Conflict Resolution
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It doesn’t “Git” any easier than this 😉
— Databricks (@databricks) 9 octobre 2023
We're introducing new Git merge, Git rebase and conflict resolution features in Databricks Repos to make collaboration even more seamless.
See how ⬇️https://t.co/uVarsry69o pic.twitter.com/PAWeJAP26AIt doesn’t “Git” any easier than this We're introducing new Git merge, Git rebase and conflict resolution features in Databricks Repos to make collaboration even more seamless. See how https://
bit.ly/3PT4I2A -
HyperLogLog Algorithm Advanced SQL Counting Methods
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Say “goodbye” to traditional counting methods and “hello” to advanced #SQL functions! With the HyperLogLog algorithm: Count unique values Merge sketches Estimate distinct counts See how https://
bit.ly/48shYCC -
Managing Generative AI Risk: CISO Workshop at FAIRCON23
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Join us at our CISO Workshop during #FAIRCON23! Databricks Field CISO Omar Khawaja will share his insights and knowledge on effectively managing #GenerativeAI risk as a leader in #infosec. Register here https://
bit.ly/3F41lzZ -
Top Cloud Computing Company For Workplace Culture Recognition
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We’ve been named to @BatteryVentures
’ Top 25 Highest-Rated Private Cloud Computing Companies To Work For list This award is a result of employees sharing self-reports on their experience with our culture, and we’re so thankful for their recognition! https://
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MLflow 2.7 Introduces New Prompt Engineering UI
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Introducing new prompt engineering UI with MLflow 2.7 Users can now experiment with various base models, parameters, and prompts to see if outputs are promising enough. Give #MLflow a try for your #LLM development initiatives
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Feature Store Unity Catalog Integration Transforms ML Data Management
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Feature Store + #UnityCatalog is a big step towards centralizing ML data.
— Databricks (@databricks) 23 septembre 2023
Explore how this new integration can have a big impact on the AI development workflow – from simpler feature discovery to richer governance and security! Check it out ⬇️https://t.co/miU5pRHVlx pic.twitter.com/mJFGXCI8qEFeature Store + #UnityCatalog is a big step towards centralizing ML data. Explore how this new integration can have a big impact on the AI development workflow – from simpler feature discovery to richer governance and security! Check it out https://
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Unity Catalog Shared Access Mode Features Announcement
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What’s new for #UnityCatalog clusters in shared access mode: Cluster libraries Python & Pandas UDFs Single-node ML See how these features can help you seamlessly move workloads to shared clusters and more https://
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LoRA and QLoRA: Optimizing LLM Fine-Tuning Strategies
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Ensuring efficient resource utilization and cost-effectiveness can make or break your plans for implementing AI, especially for LLMs. Take a deep dive into LoRA and QLoRA — and learn more about which #LLM fine-tuning strategies are right for you https://
bit.ly/3sBn1jT