Snowflake X GenAI: LLM Functions

Course Overview

This 2-4 hour module gives learners hands-on experience with Snowflake's Large Language Model functions and helps them build a simple Machine Learning model. Learners begin by exploring the TRANSLATE() function with exercises that explore English to Japanese and back again to check translation quality. Next, learners use the SENTIMENT() function and the SUUMARIZE() function in simple exercises. After the high-level function introduction, learners build a simple Machine Learning model that processes pdf files of popular songs like "99 Luftballons" and "Flashdance" (in English AND Swedish)! After training and testing their model, the learner revisits the LLM functions and applies them to the lyrics they extracted via the ML Model they created! The module includes a side-topic throughout that asks the learner to consider current state-of-the-AI art. This is the second module in the SXGA series.

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