Explore tweets tagged as #text2sql
2024 State of LLMs for Text2SQL Tasks 🏆- Full Report. 🥇 Overall Performance: @GoogleDeepMind Gemini-Exp-1206.🥇 Open Source Model: @Alibaba_Qwen 2.5-Coder:32b (Beats Sonnet 3.5 and on par with GPT-4o!). Disappointing performance by GPT-4o and 3.5 Sonnet on this task. 🧵
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Build a hybrid agentic workflow combining RAG, Text2SQL and a system that intelligently routes between SQL databases and vector search based on the users query. This tutorial and example repository by @akshay_pachaar shows you how to:. · Implement query classification to route
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Enterprise adoption of "vanilla" LLM use cases like Text2SQL requires good AI engineering. See this Prompt Journey diagram from @SwiggyTech — constrained environment with stable schemas, defined relationships, column names, and past queries — and still so much complexity!
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2024 State of LLMs for Text2SQL Tasks 🏆- Updated with Cohere R7B. @cohere Command R7B is a 7B param model that's out-performing the latest 14B models and the coming in very close to Claude-3.5 Haiku! . Whatever is going into making a model enterprise ready is working here.
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