Module recap
1. Module recap
Congratulations! Let's go over what we have covered in this module. So far, you've learned about Cortex Complete, the LLMs that we can use with it, and the functionality it offers. We have looked at how to use translation, sentiment analysis, classify text, and summarize. We've also looked at helper functions, such as COUNT tokens and TRICOMPLETE, while we keep in mind the cost considerations as we develop in this environment. Great work! In the next module, we will be looking at how we can customize our LLM responses using Cortex Fine Tuning. We will cover how to prepare our training data, starting the fine-tuning function, and managing our fine-tuned models. All of this will let us take a generally trained LLM and fine-tune it for a specific use. We finished the module with a hands-on assignment where you got to pull together everything you learned and saw this functionality in action. Exciting stuff! See you then!2. Let's practice!
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