The Long Context RAG Capabilities of OpenAI o1 and Google Gemini
Retrieval Augmented Generation (RAG) is the top use case for Databricks customers who want to customize AI workflows on their own data. The...
Page 1
Long Context RAG Performance of LLMs
Retrieval Augmented Generation (RAG) is the most widely adopted generative AI use case among our customers. RAG enhances the accuracy of LLMs by...
Announcing MLflow 2.8 LLM-as-a-judge metrics and Best Practices for LLM Evaluation of RAG Applications, Part 2
Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of...
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...
Introducing Databricks Fleet Clusters for AWS
We're excited to announce the general availability of Databricks Fleet clusters on AWS. What are Fleet clusters? Databricks Fleet clusters unlock the potential...