Do the LLMs learn from my data?

In general, no, the LLMs you use through Snowflake Cortex likely won't learn directly from your data. Here's why:

• Pre-Trained Models: LLMs are typically pre-trained on massive datasets before being deployed for use. These datasets encompass a vast amount of text and code, aiming to give the LLM a strong foundation for understanding language.
• Cortex as an Access Point: Snowflake Cortex acts as an intermediary, providing a secure environment to run pre-trained LLMs on your data. Your data is used for the specific task at hand (like translation or text analysis) but isn't incorporated into the core LLM itself.

However, there are some nuances to consider:

• Privacy Preserving Techniques: There's a possibility that Snowflake Cortex might use privacy-preserving techniques to leverage your data while protecting its confidentiality. This could involve anonymized versions of your data used to improve the LLM's performance within Cortex without compromising sensitive information.
• Future Advancements: The field of LLMs is constantly evolving. As the technology progresses, there might be future scenarios where LLMs can be fine-tuned on user data within secure environments like Cortex. But this is not the current standard practice.