एक data और AI platform जो unified analytics, data engineering, और machine learning capabilities provide करती है। Databricks ने LLM training capabilities add करने के लिए Mosaic ML (2023) acquire किया और DBRX, अपना open-weight LLM release किया। Platform Apache Spark पर built है और data preparation से model serving तक पूरे ML lifecycle के लिए managed infrastructure provide करती है।
यह क्यों matter करता है
Databricks वो जगह है जहाँ enterprise data और AI मिलते हैं। अधिकांश companies की AI ambitions “हमें अपने data को समझने की ज़रूरत है” से शुरू होती हैं, और Databricks अक्सर वो platform होता है जो data engineering, feature engineering, model training, और serving को एक जगह handle करता है। उनका Mosaic ML (efficient LLM training के लिए जाना जाता है) का acquisition signal देता है कि data platform और AI platform converge हो रहे हैं।
Deep Dive
Databricks' ML stack includes: MLflow (the most popular open-source ML experiment tracking tool, created by Databricks), Unity Catalog (data governance and model registry), Mosaic ML's training infrastructure (used to train DBRX), and model serving endpoints. The platform handles the full workflow from raw data in a lakehouse to a deployed model, which is its key differentiator from point solutions.
DBRX
DBRX is Databricks' open-weight LLM, using a Mixture of Experts architecture (132B total, 36B active). It was competitive with Llama 2 70B and Mixtral 8x7B at release. More than the model itself, DBRX demonstrated Databricks' ability to train frontier-scale models in-house, validating their Mosaic ML acquisition and positioning them as a credible AI lab alongside their platform business.
