Google’s Tabular Foundation Model 🧾, Meta’s Data Eng Agent 🛠️, LLM Spark Debugger 🚦

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TabFM is a foundation model for tabular classification and regression that reframes prediction as in-context learning, removing per-dataset training TLDR TLDR DATA 2026-07-02 📱 DEEP DIVES HOW WE BUILT DEMATE: TAMING LLMS FOR DATA ENGINEERING AT META (7 MINUTE READ) Meta's DeMate is an internal LLM-powered assistant for data engineers that helps with writing SQL, generating pipelines, reviewing code, and understanding complex data flows at massive scale. The architecture combines RAG over internal data catalogs, schema documentation, and code repositories with carefully engineered prompts, multi-step reasoning chains, and human-in-the-loop feedback loops for evaluation and continuous improvement. USING LLMS TO ANALYZE SPARK SQL PLANS: A PRACTICAL APPROACH TO DEBUGGING LONG-RUNNING JOBS (8 MINUTE READ) Instead of manually parsing complex physical plans and DAGs for debugging long-running Spark SQL jobs, Expedia feeds the plans (along with relevant context) by using LLMs to analyze and…

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