Introducing Mixtral 8x7B with Databricks Model Serving
Today, Databricks is excited to announce support for Mixtral 8x7B in Model Serving . Mixtral 8x7B is a sparse Mixture of Experts (MoE)...
Offline LLM Evaluation: Step-by-Step GenAI Application Assessment on Databricks
Background In an era where Retrieval-Augmented Generation (RAG) is revolutionizing the way we interact with AI-driven applications, ensuring the efficiency and effectiveness of...
Lakehouse Monitoring: A Unified Solution for Quality of Data and AI
Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional...
Build GenAI Apps Faster with New Foundation Model Capabilities
Following the announcements we made last week about Retrieval Augmented Generation (RAG) , we're excited to announce major updates to Model Serving. Databricks...
Improve your RAG application response quality with real-time structured data
Retrieval Augmented Generation (RAG) is an efficient mechanism to provide relevant data as context in Gen AI applications. Most RAG applications typically use...