How Snowflake’s open-source text-to-SQL and Arctic inference models solve enterprise AI’s two biggest deployment headaches

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Snowflake has thousands of enterprise customers that use the company’s data and AI technologies. Though many issues with generative AI are solved there is still lots of room for improvement. Two such issues are text-to-SQL query and AI inference. SQL is the query language used for databases and it has been around in various forms for over 50 years. Existing large language models (LLMs) have text-to-SQL capabilities that can help users to write SQL queries. Vendors including Google have introduced advanced natural language SQL capabilities. Inference is also a mature capability with common technologies including Nvidia’s TensorRT being widely deployed. While enterprises have widely deployed both technologies, they still face unresolved issues that demand solutions. Existing text-to-SQL capabilities in LLMs can generate plausible-looking queries, however they ... Read full article.