From the course: Introduction to Gen AI with Snowflake
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Analyzing customer support tickets - Snowflake Tutorial
From the course: Introduction to Gen AI with Snowflake
Analyzing customer support tickets
- Welcome back. In this video, you will explore the support tickets dataset and use Cortex LLM functions to analyze them. Sign into your Snowflake account if you're not already signed in. Navigate to the project tab on the left panel and select notebooks, and click on the fine-tuning Mistral 7B notebook, and select the start button at the top right to initiate the notebook session. Right after we start the notebook session, click on packages button and type Snowflake to install the Snowflake core package. This allows us to use Snowflake features, such as Snowpark and Cortex. Let's run the first cell in the notebook to import Snowpark context and Snowpark functions for exploration analysis. Next, let's select the database and schema where the data set is stored for the context. In the next cell, we are loading the support tickets from the support tickets table into a Snowpark dataframe. Looking at the data, we can see…
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Contents
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What is Cortex fine-tuning?10m 52s
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Setting up your environment5m 54s
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Analyzing customer support tickets6m 7s
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Preparing your training data6m 19s
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Starting the fine-tuning job15m 2s
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Inference using fine-tuned model2m 13s
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Streamlit app to autogenerate custom emails and text messages9m 43s
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Module recap1m 43s
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Continue your generative AI education3m 57s
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