Snowflake Cortex is a new platform, so Snowflake is still in the process of developing new features and capabilities. However, Snowflake has shared some of its future plans for Snowflake Cortex, including:
Expanding the set of available LLMs and AI models: Snowflake is planning to add more LLMs and AI models to Snowflake Cortex, including models for specific tasks such as image classification, object detection, and natural language inference. This will give users access to a wider range of AI capabilities.
Improving the performance and scalability of Snowflake Cortex: Snowflake is working to improve the performance and scalability of Snowflake Cortex so that it can handle larger and more complex tasks. This will make Snowflake Cortex a more powerful platform for developing and deploying AI applications.
Making Snowflake Cortex more accessible to users of all skill levels: Snowflake is working to make Snowflake Cortex more accessible to users of all skill levels, including those who do not have any prior experience with AI. This will help to democratize AI and make it accessible to a wider range of people and organizations.
Here are some specific examples of future plans for Snowflake Cortex:
Snowflake plans to add support for more programming languages, such as R and Python. This will make it easier for users to develop AI applications in Snowflake Cortex.
Snowflake plans to add support for more data types, such as images and videos. This will enable users to use Snowflake Cortex to develop AI applications that can process and analyze different types of data.
Snowflake plans to add support for more deployment options, such as on-premises and hybrid deployments. This will give users more flexibility in how they deploy and use Snowflake Cortex.
Overall, Snowflake has ambitious plans for Snowflake Cortex. Snowflake is committed to making Snowflake Cortex the most powerful and accessible platform for developing and deploying AI applications in the Data Cloud.