Best financial models?
As Databricks starts with their ML engines on their marketplace, anyone know or have financial industry models? Would this solution be better than building our own?
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As Databricks starts with their ML engines on their marketplace, anyone know or have financial industry models? Would this solution be better than building our own?
Super excited about the recent acquisition of MosiacML. Can't wait to learn and demo the new features.
How is the new feature sharing capabilities help us to share our model features with our kubernetes models
Collaborate with prospects. LLMs and vector store
Are you using the vector db or libraries for your project?
I am learning a lot all about LLMs and I am pretty excited to start using these for our projects.
Hi there, referring to this LangChain document here: SQL Database Agent — 列 LangChain 0.0.157is it possible to use LangChain’s SQL Database Agent with Databricks SQL and Dolly?If so, could someone kindly advise what the Python syntax would be?db = SQ...
Can you please help integrating Databricks control plane with corporate Private Network (especially w.r.t. Enterprise Github integration).Thank you !
Depends on what platform your Databricks is on. Example in Azure you just need to set up the service in a vlan and tie the vlan to your internal network- site to site VPN tunnel as am example.
It is all happening here at DAIS 2023 - exciting new announcements - looking forward to Lakehouse IQ
Had an amazing session June 26-27 on scaling ML with Spark. Learned about hyperparamter optimization. Great experience.
How can you solve it for your company if you cannot rely on a single third party vendor. Thx!
we have many siloed and fragmented existing solutions that we could not depreciated, but the user experience for our AI developers is not good, how do you solve it with the consideration that you cannot use one/single 3rd party solution. Thanks for ...
Hello, all! Been using databricks for the past 5 years but just joinned the community. Big fan of the platform.
What complexity of ML models are feasible to be created in Databricks ML and further that we have to rely on AWS Sagamaker or Azure ML ?Do we have clear segragation around it by ML usecases ?
In Databricks, your usecase can be solved by the notebooks provided here in databricks. There is no dependency on AWS sagemaker directly. All the model traiing and deployement that can be done in sagemaker, is supported via databricks as well.
At the Summit and It is wildly amazing!
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