Announcing Inference Tables: Simplified Monitoring and Diagnostics for AI models
Have you ever deployed an AI model, only to discover it's delivering unexpected results in a real-world setting? Monitoring models is as crucial...
Deploy Private LLMs using Databricks Model Serving
We are excited to announce public preview of GPU and LLM optimization support for Databricks Model Serving! With this launch, you can deploy...
Introducing MLflow 2.7 with new LLMOps capabilities
As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7...
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...
Using MLflow AI Gateway and Llama 2 to Build Generative AI Apps
To build customer support bots, internal knowledge graphs, or Q&A systems, customers often use Retrieval Augmented Generation (RAG) applications which leverage pre-trained models...
What’s new with Unity Catalog at Data and AI Summit 2023
The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative...
Lakehouse AI: A Data-Centric Approach to Building Generative AI Applications
Generative AI will have a transformative impact on every business. Databricks has been pioneering AI innovations for a decade, actively collaborating with thousands...
Announcing MLflow 2.4: LLMOps Tools for Robust Model Evaluation
LLMs present a massive opportunity for organizations of all scales to quickly build powerful applications and deliver business value. Where data scientists used...
Announcing General Availability of Databricks Model Serving
ML Virtual Event Enabling Production ML at Scale With Lakehouse March 14, 9 AM PDT / 4 PM GMT Register Now We are...
Recap of Databricks Machine Learning announcements from Data & AI Summit
Databricks Machine Learning on the lakehouse provides end-to-end machine learning capabilities from data ingestion and training to deployment and monitoring, all in one...