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Posts con #Text2SQL

#Text2SQL

Posts públicos de X que usan #Text2SQL.

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  1. 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👉
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  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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  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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  6. 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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  11. 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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  12. Zcode AI Sports Picks✓@ZcodeAI
    An indispensable neural network for #SQL queries. #Text2sql will easily turn your text into a ready-made query. And if you don't understand what's going on in the request, just drop it in a special section and the program will explain it in detail. #Crypto #ai #Bitcoin
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    204517
  13. 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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  14. 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
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  15. 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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  16. 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
  18. 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)
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  19. 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
  21. 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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  22. OSS Insight✓@OSSInsight
    It's easy to generate a 2022 summary of a #GitHub repository with #OpenAI: 1. Open (or choose another repo) 2. Ask questions with natural language 3. Run SQL (generated by AI) to get result Q1: How many pull requests open in 2022 of this repo #OpenSource
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  24. Turing@turingcom
    Unlock the power of synthetic data!💡 Explore our latest proof-of-concept study at Turing, showcasing how we’re transforming natural language into SQL queries with precision. 🚀 Read the full blog here: #AI #SyntheticData #Text2SQL #Innovation
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