🚀 Takeaways: ➡️Better schema selection → better reasoning ➡️Schema linking is a critical (and often under-explored) lever in Text-to-SQL ➡️Effective design can be both lightweight and powerful, without added complexity #EACL2026 #NLProc #TextToSQL #AI #Morocco

Will be working on Text-to-SQL agent. as i now have scraped the Schema, so instead of working on frontend (which i hate for no reason). will work on the Text -to-SQL agent. Any Leads #LLM #ML #texttosql #sql

The future isn't "BI Dashboards." The future is "Chatting with your data." Ready to build your AI Agency? Start with the best AI Database Assistant on the market. Check out [getlila.one] #TextToSQL #BuildInPublic #AgencyGrowth

#TextToSQL #LLMs #SemanticReconstruction #SchemaPruning #Database #NLP #AI #SQLGeneration

Built a multi-agent Text-to-SQL system using @GravixLayer that: • Understands your database schema • Generates accurate, secure SELECT-only queries • Translates results into clear, actionable insights Cookbook: github.com/gravixlayer/gr… #AI #TextToSQL #LLM #OpenSource

🚀 From QueryGPT Theory to Production: Building My Own NLP2SQL Library | DevLach share.google/3WM3N5YeQX1i7N… #nlp #texttosql #openai #anthropicAI #Gemini #sql

@casper_hansen_ * #TextToSQL

🚀 Built a Text-to-SQL Agentic RAG system! Ask in plain English, get SQL answers—no SQL needed. If the SQL fails, the agent retries with a rephrased question. Not relevant? Get a witty reply! Limitation: Sometimes SQL is correct but not what you meant #LangGraph #TextToSQL #GenAI

Tired of waiting on reports? With 𝗛𝗲𝘅𝗮𝗹𝘆𝘁𝗶𝗰𝘀’ 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗧𝗲𝘅𝘁-𝘁𝗼-𝗦𝗤𝗟, teams ask in plain English and get answers fast.  • 70% faster turnaround   • Higher adoption   • Better ROI Follow us for real-world AI wins. #TextToSQL #Hexalytics #AI

Tired of data bottlenecks slowing down your 2025 decisions? Our Data Scientist, Brian, just dropped a game-changer! He explains how intermediate languages are smashing #TextToSQL barriers, making #DataAccess truly agile. Read Brian's article: hubs.li/Q03rv_XW0

Is your #LLM confidently incorrect when generating SQL queries? A new paper by our #AI research scientists introduces a robust post-hoc method for calibrating LLM outputs in text-to-SQL -- without LLM re-training bloom.bg/4mTshqz #TextToSQL (1/3) bloom.bg/4kKcclk

Read "Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies" by Terrance Liu (an intern from @SCSatCMU), Shuyi Wang, @daniel_preotiuc, Yash Chandarana & Chirag Gupta of @Bloomberg's #AI Engineering group bloom.bg/4kUSOlK #arxiv #TextToSQL (2/3)

Is your #LLM confidently incorrect when generating SQL queries? A new paper by our #AI research scientists introduces a robust post-hoc method for calibrating LLM outputs in text-to-SQL -- without LLM re-training bloom.bg/4kKcclk #TextToSQL (1/3)

Just fine-tuned a text-to-SQL Gemma model using @nvidia NIMs after days of chasing A100s across cloud providers 😅 I made a Chrome plugin for it and you can find the link in the post here - linkedin.com/posts/gbengawo… #AI #LLM #TextToSQL #Gemma #MLOps

Hands-free Text-to-SQL? Still risky. RAG + metadata help, but agents need human eyes. Hybrid wins: agent runs simple SELECTs, analyst checks the rest. Faster queries, no “DROP TABLE?!” scares. Your take?👇 buff.ly/IWe8S3p #TextToSQL #LLM #SQL #NeurlCreators

Auto-SQL looks slick—until QA & guardrails bite. One hallucinated query can wreck your dashboard. Full automation? Not yet—humans still needed. Wins/fails?👇 neurlcreators.substack.com/p/text-to-sql-… #TextToSQL #LLM #Automation #NeurlCreators

Text-to-SQL feels magical—until a hallucinated JOIN nukes your dashboard. Prod-ready teams defend with: 1️⃣ Rich schema metadata 2️⃣ Safe pre-built views 3️⃣ Few-shot fine-tunes on real queries 4️⃣ Live schema lookups via function calls 👉 buff.ly/JVtKTg0 #TextToSQL #LLM

“ChatGPT for SQL” sounds great—until: 1️⃣ Queries hallucinate 2️⃣ Model ignores your schema 3️⃣ Bad SQL + no guardrails = 🚨 Hand prod keys to an LLM?👇 More: neurlcreators.substack.com/p/text-to-sql-… #TextToSQL #AIinData #SQL #LLM #NeurlCreators

BIRD-SQL | A Big Bench for Large-Scale Database Grounded Text-to-SQLs bird-bench.github.io #AI #GenAI #TextToSQL

🚀 Big news! Our collab w/ Snowflake, UCSD & UMD topped the BIRD leaderboard — beating prior SOTA by 2.8% in Text-to-SQL reasoning! RL was tough, but worth it. 📢 Best model coming soon. #AI #LLM #TextToSQL #ReinforcementLearning #Snowflake #UCSD #UMD #NLP #BIRDLeaderboard