Bringing Scalable AI to the Edge with Databricks and Azure DevOps
The opportunity for machine learning and AI in manufacturing is immense . From better alignment of production with consumer demand to improved process...
Crossing Bridges: Reporting on NYC taxi data with RStudio and Databricks
As data enthusiasts, we love uncovering stories in datasets. With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive...
Best Practices for LLM Evaluation of RAG Applications
Chatbots are the most widely adopted use case for leveraging the powerful chat and reasoning capabilities of large language models (LLM). The retrieval...
Improve Lakehouse Security Monitoring using System Tables in Databricks Unity Catalog
As the lakehouse becomes increasingly mission-critical to data-forward organizations, so too grows the risk that unexpected events, outages, and security incidents may derail...
Retail Personalization with RFM Segmentation and the Composable CDP
Check out our Solution Accelerator for RFM Segmentation for more details and to download the notebooks . For retail brands, effective customer engagement...
Introducing Databricks Bengaluru Development Center
In May this year, we opened our latest development center in Bengaluru, India. We've been busy building out our R&D teams in India...
Shared Clusters in Unity Catalog for the win: Introducing Cluster Libraries, Python UDFs, Scala, Machine Learning and more
We are thrilled to announce that you can run even more workloads on Databricks’ highly efficient multi-user clusters thanks to new security and...
Upskill with instructor-led training and save 20% off today
For a limited time, we are offering 20% off our public instructor-led training with the code: ilt20 1 Value of Databricks Training The...
Databricks introduces the Delivery Solutions Architect
At Databricks, we are constantly evolving to meet the ever-changing needs of our customers. This year, we launched a new role that aims...
Efficient Fine-Tuning with LoRA: A Guide to Optimal Parameter Selection for Large Language Models
With the rapid advancement of neural network-based techniques and Large Language Model (LLM) research, businesses are increasingly interested in AI applications for value...