Databricks的动态

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Tired of struggling with unstructured text data across millions of documents? Databricks makes it easy to scale and automate #LLM inference. With batch inference on #MosaicAI Model Serving: - Run large-scale inference on governed data without manual exports or complex -infrastructure. - Process millions of rows using familiar SQL queries. - Easily integrate preprocessing, inference, and post-processing into a unified workflow. Learn more: https://dbricks.co/48pltdx

Empowering data teams to seamlessly handle unstructured text at scale—Databricks and MosaicAI are transforming large-scale LLM inference! We’re inspired by the efficiency gains from batch inference and SQL integration, simplifying workflows across preprocessing, inference, and post-processing in a single streamlined environment. A game changer for scaling insights!

What a breakthrough in simplifying batch LLM inference with Mosaic AI Model Serving! ?? Integrating LLMs directly into SQL workflows without the hassle of data movement or complex infrastructure setup is a game-changer for anyone dealing with large-scale unstructured data. We've been delving into scalable AI solutions for processing massive datasets, and this development really addresses some of major the challenges many of us face in the field.

Absolutely game-changing! Databricks simplifies the complexities of working with unstructured text data, making large-scale LLM inference accessible with ease. The ability to run inference directly on governed data, process millions of rows with SQL, and integrate workflows seamlessly is a huge advantage.?

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Toke Van Gehuchten

Growth Marketing | Demand Generation | Global Campaigns | ABM | Industry Marketing | B2B | SaaS

2 周

Love it!

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Rodson Varella

Senior Automation Engineer for finance at @ BASF | Lean, SAP, Databricks, Power Platform

2 周

Love it

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Mattia Ficarelli

Consultant at LCP | Senior Health Data Engineer

2 周
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