Data sharing features are often locked into one platform. We started #DeltaSharing as the first open protocol for data sharing and it’s taking off: 40% of our customers’ shares go outside Databricks! Read how @Atlassian, @Nasdaq, @Oracle and others use it: https://t.co/Yw3E5ieT3Q
Today we released an open source model, DBRX, that beats all previous open source models on the standard benchmarks. The model itself is a Mixture of Experts (MoE), that's roughly twice the brains (132B) but half the cost (36B) of Llama2-70B. Making it both smart and cheap. Since only 36B expert parameters are used live, it's close to twice the speed (tokens/seconds) of Llama2-70B. We're excited to build custom versions of this for organizations that have proprietary data! Check it out!
https://t.co/KA5rLaCnQx
Exciting news! We've partnered with @Adobe, allowing seamless data merging between Databricks and Adobe Experience Platform.
Users can now use Databricks for personalized ML models on the Experience Platform, unveiling tailored insights. Learn more ⬇️
https://t.co/gvgNxpPJxz
The founders of Databricks put together this strategy blog on where we think data platforms are headed in the future. We're moving Databricks quickly in this direction. This is very exciting and is the outcome of the MosaicML acquisition we did earlier this year!
https://t.co/EyO9H7I8Tc
We’re proud to announce our Series I funding round led by @TRowePrice, with new strategic investor @nvidia, and new investors @CapitalOne Ventures and @OTPPinfo! This funding will accelerate our innovations in #generativeAI.
Learn more ⬇️
https://t.co/lrucmIsVO2