Hanlin Tang

Sep 25, 2024 | databricks.com | Daniel King |Hanlin Tang |Patrick Wendell |Ahmed Bilal

We are excited to partner with Meta to launch the latest models in the Llama 3 series on the Databricks Data Intelligence Platform. The small textual models in this Llama 3.2 release enable customers to build fast real-time systems, and the larger multi-modal models mark the first time the Llama models gain visual understanding. Both provide key components for customers on Databricks to build compound AI systems that enable data intelligence – connecting these models to their enterprise data.

Jul 23, 2024 | databricks.com | Ahmed Bilal |Ankit Mathur |Hanlin Tang |Patrick Wendell

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful open models. With Llama 3.1, enterprises can now build the highest-quality GenAI apps without sacrificing ownership and customization for quality.

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.

Feb 22, 2024 | databricks.com | Patrick Wendell |Hanlin Tang |Ari Kaplan |Pearl Ubaru

Today, we are excited to announce that Unity Catalog Volumes is now generally available on AWS, Azure, and GCP. Unity Catalog provides a unified governance solution for Data and AI, natively built into the Databricks Data Intelligence Platform. With Unity Catalog Volumes, Data and AI teams can centrally catalog, secure, manage, share, and track lineage for any type of non-tabular data, including unstructured, semi-structured, and structured data, alongside tabular data and MLmodels.