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A guide to Open-Source LLMs and MLOps
on Snowflake

One of the biggest challenges in AI/ML is deploying and scaling models in production.
Snowflake is accelerating the path from model development to production with Snowpark, the set of libraries and runtimes that securely deploy and process Python and other programming code in Snowflake.

Watch the Snowpark Day recording and learn how to: 

  • Use Snowpark ML library for faster and more intuitive ML development and operations.
  • Work from your development tool of choice with integrations to the most popular IDEs and notebooks.
  • Build and deploy an end-to-end model using Snowpark ML through a demo.

Hear directly from our Snowpark Experts on how you can: 

  • Partner with Infostrux to start your MLOps journey by leveraging the Snowpark Model Registry to deploy open-source LLMs into Snowflake compute.

 


Watch the On-demand Video
Building an end-to-end AI solution in Snowflake - A Real-Life Case
Read our article: Building an end-to-end AI solution in Snowflake - A Real-Life Case

Learn how to build a customer review categorization AI solution using Snowflake, DBT, HuggingFace LLM Models, and MLOPS best practices.

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