然后进一步借助 LLM 的 text-to-SQL 能力,将其转换为可执行的 SQL 语句 (parsing),然后在给定的表...
Prompt engineering– The model is trained to complete prompts designed to prompt the target SQL syntax. When generating SQL from natural language using LLMs, providing clear instructions in the prompt is important for controlling the model’s output. In the prompt to...
Before provide a direct response, I do want to call out that other options are available for integrating SQL into cognitive use-cases. For instance, Azure Cognitive Search supports a SQL indexer. It may also be worth emphasizing that using LLM for code-generation outside of design-time/co-pi...
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SQL Kopiëren GRANT USE CATALOG ON CATALOG < catalog_name > TO < group_name >; GRANT USE SCHEMA ON SCHEMA < catalog_name >.< schema_name > TO < group_name >; GRANT SELECT ON < catalog_name >.< schema_name >.< table_name >; TO < group_name >; U kunt de toegang tot ko...
Text structure tasks: Text summary, Answers to text-based questions, Structured data extraction. Writing code and SQL queries. Generation of text based on a prompt With this task we aim to assess the quality of a text generated by an LLM, including assessing grammar, text coherence, narrative...
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