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New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.
Currently, when a user asks natural language questions over custom data sources, two main approaches come into play: text-to-SQL or retrieval-augmented generation (RAG). While both methods do ...
Announcing SQL Server 2025—empowering customers to develop modern AI applications securely using their data, complete with ...
AWS Machine Learning Blog: Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases. Image Credit: ...