Jonathan Frankle

Jun 6, 2024 | databricks.com | Kobie Crawford |Jonathan Frankle |Ali Ghodsi |Naveen Rao

Businesses are making remarkable progress on their data and AI journeys. They’re advancing from a few pilot projects confined to use cases likely deemed “non-mission-critical,” to deploying applications in real-world operations across thousands of users that are enhancing employee productivity and improving efficiency. However, building and scaling these next-generation systems is a complex, resource-intensive combination of engineering challenges up and down the stack.

May 3, 2024 | databricks.com | Josh Howard |Jonathan Frankle |Ali Ghodsi |Naveen Rao

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open source foundation models in search of that control and the ability to better influence outputs by more tightly managing both the models and the data they are trained on. Databricks has assisted thousands of customers in evaluating use cases for generative AI and determining the most appropriate architecture for their organization.

Apr 16, 2024 | databricks.com | Has Been Prescribed |Jonathan Frankle |Ali Ghodsi |Naveen Rao

IntroductionIn this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing DBRX). We discuss how DBRX was designed from the ground up for both efficient inference and advanced model quality, we summarize how we achieved cutting-edge performance on our platform, and end with some practical tips on how to interact with the model.

Mar 27, 2024 | databricks.com | Jonathan Frankle |Ali Ghodsi |Naveen Rao |Hanlin Tang

Databricks’ mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems. Today, we are excited to advance our mission by open sourcing DBRX, a general purpose large language model (LLM) built by our Mosaic Research team that outperforms all established open source models on standard benchmarks.

Mar 19, 2024 | databricks.com | Matei Zaharia |Naveen Rao |Jonathan Frankle |Hanlin Tang

Today, we are thrilled to announce that Lilac is joining Databricks. Lilac is a scalable, user-friendly tool for data scientists to search, cluster, and analyze any kind of text dataset with a focus on generative AI. Lilac can be used for a range of use cases — from evaluating the output from large language models (LLMs) to understanding and preparing unstructured datasets for model training.