Summary
- Snowflake has created two open-source projects focused on improving AI functions for enterprises: Arctic-Text2SQL-R1 and Arctic Inference.
- While LLMs have capabilities for querying SQL through natural language prompts, these are often unsuccessful in operational situations.
- Snowflake’s projects focus on retraining LLMs to prioritise the reliability of outcomes, with real-world testing used as a training metric.
- The second project focuses on improving the speed and cost efficiency of AI inference, which is the process of deploying trained models in production.
- Snowflake’s “shift parallelism” approach allows for multiple deployment strategies to be used depending on situational needs.
- These projects are open source and could provide competitors with tools to improve their products.
By Sean Michael Kerner
Original Article