Berichten met #Text2SQL

#Text2SQL

Openbare berichten op X die #Text2SQL gebruiken.

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  1. MyScale@MyScaleDB
    🥳Introducing an excellent update on ChatData! Wikipedia is now available as a knowledge base! 😉Come unlock the true potential of information retrieval with ChatData and discover a world of knowledge at your fingertips. #selfquery #text2sql #vectorsql #vectordatabase
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    0296K
  2. Jiongli Zhu✓@J10ngl1Z
    Excited to share that our recent work DivSkill-SQL is now ranked #1 on the official Spider2-Lite leaderboard🎉 Text-to-SQL agent ensembling, which generates multiple SQL candidates, then selects the best one, has been shown to be effective.
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    15141.5K
  3. Jiongli Zhu✓@J10ngl1Z
    @J10ngl1Z
    Our idea is to optimize the ensemble more directly for Pass@K. Specifically, we aim to learn residual skills that capture the missing capabilities needed to address what existing agents fail to solve. This leads to more diverse, targeted, and effective Text-to-SQL ensembles.
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  4. Davood Rafiei@DavoodRafiei
    Our #EMNLP2023 main paper "Evaluating Cross-Domain Text-to-SQL Models and Benchmarks" is now at The evaluation includes major #text2sql benchmarks, showing some of the areas for improvement. #spider #bird
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  5. Tech At Bloomberg@TechAtBloomberg
    A team of researchers from Bloomberg’s #AI Engineering group introduced PExA, an #agenticAI framework that achieved 70.2% execution accuracy on the Spider 2.0 leaderboard, one of the most demanding benchmarks for #text2sql generation #CodeGeneration (1/2)
    1091.8K
  6. winner✓@danny0dong
    LLM生成的SQL修不好,别只把报错再喂回去。 一项覆盖3000多条样本、3种SQL方言的实验,用静态属性检查约束修复:解决了传统报错反馈仍未修好的77.8%执行错误,Token少用30%。不过这只是实验结果,实际情况仍然要验证的。 #Text2SQL #SQL修复 #Agent评测
    10241
  7. Łukasz Borchmann✓@LukaszBorchmann
    Is complex reward engineering essential for state-of-the-art text-to-SQL? We've just released Arctic-Text2SQL-R1, which answers this question "NO." See 🧵 and #Text2SQL #LLM
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    155321.7K
  8. Xutan Peng@Pzoom522
    We've updated the preprint - with #vulnerability demonstrations on *four* new commercial applications (namely #ChatGPT, #Text2Sql.ai, AiHelperBot, ToolSKE) in addition to the two targets in our previous version (Baidu UNIT & Ai2Sql)! #NLProc #NLP #cybersecurity
    Xutan Peng @Pzoom522
    🚨Oops! Hackers may use Text-to-SQL models to break into your valuable databases!🚨 In our recent work ( we made the 1⃣st demonstration on the danger of #NLProc models being exploited to attack *commercial* software *in the wild*😈 #cybersecurity (1/6)
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  9. Xutan Peng@Pzoom522
    🚨Oops! Hackers may use Text-to-SQL models to break into your valuable databases!🚨 In our recent work ( we made the 1⃣st demonstration on the danger of #NLProc models being exploited to attack *commercial* software *in the wild*😈 #cybersecurity (1/6)
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    2927
  10. Prem✓@premai_io
    Text to SQL is a class of problems when solved introduces amazing usecases like LLM assisted data analysis or any kind of #RAG based use case whose data sources are databases instead of documents. This 🧵 discusses how much #Text2SQL is a solved problem.
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    127589
  11. Visper.io@VisperIo4156
    🚫 "Text2SQL" is too narrow — data is more than queries. ✨ With Visper, your whole team can go from questions → insights → dashboards in one flow. Why Visper is a leap beyond Text2SQL 👇 🔗 #text2sql #DataAnalytics #AI
    01241
  12. Tanmay Parekh@tparekh97
    Proposing a new “Parallel Exploration” Agentic framework PExA for complex code generation, specifically text-to-SQL. We achieve one of the best numbers on the Spider 2.0 leaderboard. Paper incoming on ArXiv soon! #agenticAI #text2sql #llm
    Tech At Bloomberg @TechAtBloomberg
    A team of researchers from Bloomberg’s #AI Engineering group introduced PExA, an #agenticAI framework that achieved 70.2% execution accuracy on the Spider 2.0 leaderboard, one of the most demanding benchmarks for #text2sql generation #CodeGeneration (1/2)
    2191.2K
  13. Wren AI✓@getwrenai
    We have implemented a very similar architecture to @PinterestEng Text-to-SQL solution, and it's all open-sourced! Check us out on GitHub: Pinterest Text-to-SQL: #text2sql #nlp #gpt #openai #wrenai #ai
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    Howard Chi 🪶 @chilijung
    Learned a lot through the post about how Pinterest built its text-to-SQL infrastructure. You can get most of the features on @getwrenai, and they are all open-sourced on Github
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  14. Howard Chi 🪶✓@chilijung
    Learned a lot through the post about how Pinterest built its text-to-SQL infrastructure. You can get most of the features on @getwrenai, and they are all open-sourced on Github
    Downloaden
    002577
  15. TiDB, powered by PingCAP✓@PingCAP
    Our latest blog 📖 discusses the latest innovations in TiDB Cloud ☁️ including #Text2SQL. Learn about the improvements to Chat2Query that make data interactions easier and more efficient. 🌐 Read the blog, and try Chat2Query for free today! #Chat2Query
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    003416
  16. MyScale@MyScaleDB
    Text-to-SQL combined with retrieval augmentation is taking #LLM-powered apps to new heights. @MyScaleDB, a SQL #vectordatabase, supports both #Text2SQL and vector queries. ❓Wanna see how we automate this process? Try out ChatData now👉
    Downloaden
    003242
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