AI Agent Systems: Modular Engineering for Reliable Enterprise AI Applications
Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize...
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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...
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...
Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM
Two weeks ago, we released Dolly , a large language model (LLM) trained for less than $30 to exhibit ChatGPT-like human interactivity (aka...
Cortex Labs is Joining Databricks to Accelerate Model Serving and MLOps
As enterprises grow their investments in data platforms, they increasingly want to go beyond using data for internal analytics and start integrating predictions...
Evolving the Databricks brand
Some brands start out as, well, brands. A lot of work goes into the concept and painting the picture before the business is...
Apache Spark 2015 Year In Review
To learn more about Apache Spark, attend Spark Summit East in New York in Feb 2016 . 2015 has been a year of...
Announcing Apache Spark 1.6
To learn more about Apache Spark, attend Spark Summit East in New York in Feb 2016 . Today we are happy to announce...
Announcing an Apache Spark 1.6 Preview in Databricks
Today we are happy to announce the availability of an Apache Spark 1.6 preview package in Databricks. The Apache Spark 1.6.0 release is...
Spark Survey 2015 Results are now available
We ran the Spark Survey 2015 this summer to gain insights on how organizations are using Apache Spark. The results of this year’s...