Getting Started with Snowflake ML in Notebooks

Use Snowflake Notebooks + Cortex AI to drive insights for SaaS Product and GTM teams

Scale Embeddings with Snowflake Notebooks on Container Runtime

Deploy a Streamlit application that leverages Snowflake Cortex AI features like LLM Inference and Cortex Search for summarization, search and analysis of support case tickets.

Learn how to use Feature Store with Snowflake Notebooks

Getting Started with Time Series Analytics with Pricing Data on Snowflake

This notebook goes through how to integrate Snowflake Feature Store and dbt

Run inference using stateful partitioned custom models in Snowflake

A comprehensive end-to-end autonomous coding solution utilizing LLMs to extract and analyze medical codes from patient reports.

ML Observability allows you to track the quality of production models you have deployed via the Snowflake Model Registry across multiple dimensions, such as performance, drift, and volume.Create an end to end ML pipeline using Snowflake ML with the ability to monitor the built models over time

Snowflake provides a managed service called Cortex Fine-Tuning, enabling organizations to refine popular LLMs using their own data, all within Snowflake’s platform. This repo contains the files to setup a solution.

Running Distributed PyTorch Models on Snowflake: An End-to-End ML Solution

Multiclass defect detection on PCB images using distributed PyTorch training

Learn how you can run partitioned training and inference on custom models with Snowflake ML

Learn how to get started with Notebook Container Runtime in Snowflake

Use Snowflake Notebooks + Cortex AI to resolve inconsistent product data and deliver insights for retail and e-commerce teams.

This quickstart demonstrates how to build and monitor task graphs in Snowflake

Snowflake provides the ability to tap into this vast unstructured health data of patients and effectively run analytics on top of this data which is very critical to build a holistic patient profile and ensure health outcomes through data-driven insights.