From the course: Introduction to Gen AI with Snowflake
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Introduction - Snowflake Tutorial
From the course: Introduction to Gen AI with Snowflake
Introduction
(upbeat music) - Welcome back. Now, that we have gotten our first taste of how we can use generative AI in Snowflake, let's take a closer look at using Cortex LLM functions. As you might remember from before, we used the Snowflake Cortex COMPLETE function to prompt the foundation models with instructions to summarize the transcript in JSON format. In this module, we will look at what LLM functions are and how we can use them to accomplish complex natural language tasks. First, we will explore how to use complete with custom prompts to run a natural language task. Next, we will learn more about the out of the box task-specific functions. These will include translation, sentiment analysis, summarization, and text classification. We will also look at how to use two of the helper functions that come with Cortex, COUNT_TOKENS and TRY_COMPLETE, and then we will learn about the role-based access controls or RBAC. You need to…
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Contents
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Introduction1m 38s
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Introduction to LLM functions and Cortex COMPLETE6m 57s
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Task-specific LLM functions and helper functions9m 37s
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Using the Cortex COMPLETE function13m 55s
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Using task-specific Cortex LLM functions7m 17s
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Using helper functions4m 39s
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Getting ready to put it all together: Build a Streamlit app6m 11s
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Module recap1m 10s
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