Transcript and Recording: @Amber R. & @Shuaichen LLM Discussion

📖 Transcript + recording of Amber R. discussion with Shuaichen is now available! This paper investigates the impact of prompt constructions on the performance of LLMs in the text-to-SQL task. Findings in the paper emphasize the importance of careful consideration in constructing prompts, highlighting the crucial role of table relationships and content, the effectiveness of in-domain demonstration examples, and the significance of prompt length in cross-domain scenarios. Check it out: https://arize.com/blog/how-to-prompt-llms-for-text-to-sql-paper-reading/