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It diminishes the story that Databricks is the default route to privately trained models on your own data. Databricks jumped on the LLM bandwagon really quickly to good effect. Now every enterprise must at least consider Snowflake, and especially their existing clients who need to defend decisions to board members.

It also means they build large scale rails necessary to use Snowflake for training and can market such at every release.



I don't think that you understand Databricks. Databricks gives you the tools to train, tune or build RAG models. Snowflake doesn't.

Having said that, I'm a big fan of Llama-3 at the moment.


Snowflake has some examples of that: https://www.snowflake.com/blog/easy-secure-llm-inference-ret... https://quickstarts.snowflake.com/guide/asking_questions_to_... And I assume these new models would be now available for embedding. Is this different to what Databricks offers?




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