Snowflake doesn't necessarily have its own large language models (LLMs) but it offers a platform to leverage them. Here's a breakdown of what they do:
- Snowflake Cortex (Private Preview):Â This service allows you to securely run LLMs from various providers directly within the Snowflake environment. You can think of it as a one-stop shop to access cutting-edge AI models for tasks like text translation. For instance, Snowflake mentions using Meta's Llama 2 model for such purposes [3].
- Focus on Integration:Â Their approach seems to be integrating industry-leading LLMs rather than creating their own. This gives users flexibility and access to a wider range of capabilities.
Overall, Snowflake acts as a facilitator for using LLMs for data analysis and manipulation tasks. They provide the cloud infrastructure and user interface for you to leverage these powerful language models.
Here are some resources for further reading:
- Snowflake's blog on their vision for LLMs: [Snowflake Vision for Generative AI and LLMs]
- Snowflake's page on the role of LLMs in Machine Learning: [The Role of Large Language Models (LLMs) in Machine Learning]
Daniel Steinhold Changed status to publish March 31, 2024