Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 on Databricks
As enterprises build agent systems to deliver high quality AI apps, we continue to deliver optimizations to deliver best overall cost-efficiency for our...
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Introducing Meta Llama 3.2 on Databricks: faster language models and powerful multi-modal models
We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform...
A New Standard in Open Source AI: Meta Llama 3.1 on Databricks
We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful...
Announcing DBRX: A new standard for efficient open source LLMs
Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their...
Lilac Joins Databricks to Simplify Unstructured Data Evaluation for Generative AI
Today, we are thrilled to announce that Lilac is joining Databricks. Lilac is a scalable, user-friendly tool for data scientists to search, cluster...
Creating High Quality RAG Applications with Databricks
Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are...
MosaicML Satisfies the Need for Speed with MLPerf Results
MosaicML’s Open Division submission to the MLPerf Image Classification benchmark delivers a score of 23.8 minutes (4.5x speed-up relative to our baseline) on...