
Immanuel Trummer
@ImmanuelTrummer
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Database Prof at Cornell. I make data analysis more efficient and more user-friendly.
Ithaca, NY (USA)
Joined October 2017
#CodexDB demo: I use CodexDB to generate Python code for SQL processing while customizing code via natural language instructions!.#GPT3 #OpenAI #NLP #AI #ML #DB #SQL #Python #DataScience #FoundationModels #LanguageModels
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Really proud of my students — @SaehanJo, @giannakourisv, @lojil192574, and @Tharushi96 (left to right) — who each presented their latest work at #SIGMOD2025. Many thanks to the organizers for an amazing conference! @SIGMODConf @sigmod
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🥳Looking forward to an amazing #SIGMOD2025 conference! Our schedule:.📃 Sunday, 15:00-17:30: Data partitioning with quantum and digital annealers.📃 Sunday, 15:00-17:30: Optimizing hybrid quantum-classical processing pipelines.📃 Tuesday, 10:30-11:30: SpareLLM - selecting LLMs.
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💵Don't overpay when using #LLMs! Introducing our upcoming #SIGMOD2025 paper on #SpareLLM by @SaehanJo . @sigmod @SIGMODConf #LanguageModel #GPT4 #ChatGPT #CostOptimization #Data @Cornell
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Outperforming various baselines, including #QuantumAnnealers and classical optimization, for large problem instances with 1000 queries. #SQL #DB #Quantum #QueryOptimization
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🥳Paper accepted at #SIGMOD2026! Our paper leverages #DigitalAnnealers (hardware accelerators for optimization) for #QueryOptimization. We scale up to large problem instances using 1⃣domain-specific problem decomposition and 2⃣pre/post-processing on classical machines. @sigmod
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Had a great time at the @dagstuhl seminar on Table Representation Learning! Lots of interesting discussions and future work directions. Many thanks to the organizers (@FrankRHutter @cbinnig @MadelonHulsebos @eisenjulian)! #TabularFoundationModel #AI #ML #DB
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RT @ibrahim_sabek: The submission deadline for the Q-Data Workshop has been extended by one week. The new submission deadline is April 27,….
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The book is a hands-on introduction to #LLMs and #Multimodal #DataAnalysis, based on a few mini-projects. It covers the @OpenAI #Python library, #Prompting, #FewShotLearning, #FineTuning, #LLM #Agents, and recent #LLM frameworks like #LangChain and #LlamaIndex.
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🥳I finished my book!.📘"Data Analysis with LLMs" shows how to analyze (📄text/🖼️image/🔊audio/📽️video/. ) data with #LLMs and #Python!.🔗@ManningBooks #LLM #GPT4 @OpenAI #SQL #GraphData #AgenticAI @LangChainAI @llama_index #Multimodal #DataScience
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🥳Many congrats to Dr. Saehan Jo! .🎓Saehan successfully defended his PhD thesis "Efficient Data Systems for Scalable Analysis with LLMs", introducing systems like #ThalamusDB and #SpareLLM that scale up processing with #LLMs to very large data sets!.@SIGMODConf #Data #SQL #ML
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RT @ibrahim_sabek: The submission deadline for the Q-Data workshop is in a week. Please submit your work and spread the word! @SIGMODConf….
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The @Q_Data_Workshop deadline is on 4/20! Submit your work connecting database research and emerging hardware such as #DigitalAnnealers and #QuantumAnnealers! We accept:.1⃣ Long papers (12 pages).2⃣ Short papers (6 pages).3⃣ Abstracts (1 page).See you in #Berlin!.📄
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Really looking forward to my panel at @DataCamp RADAR with @yahave and @MRBerthold!.#DataScience #Data #AI #LLM #GPT4 #SQL
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RT @Q_Data_Workshop: We're thrilled to announce Dr. Catherine Potts, a technical advisor at D-Wave Quantum Inc. (@dwavequantum), as a keyno….
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🥳 Three demos accepted at #SIGMOD2025!.1⃣CEDAR: cost-efficient, data-driven claim verification.2⃣SwellDB: generating missing data on the fly by LLMs.3⃣SQLBarber: creating custom benchmarks by LLMs.Many congrats to @lojil192574 @Tharushi96 @giannakourisv!.@SIGMODConf #LLM #DB.
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GenesisDB uses #LLMs to synthesize customized relational operator implementations. It employs automated testing and debugging to handle code generation errors. #DB #SQL #NLP #GPT4 #Database #Data #IEEE #DataEngineeringBulletin #CodeSynthesis
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🎉 Good news x2!.1⃣ Saehan's paper on SpareLLM (selecting #LLMs with optimal cost-quality tradeoff) was accepted at @SIGMODConf!.2⃣ My paper on GenesisDB (synthesizing operator implementations with #LLMs) was accepted at the @IEEE Data Engineering Bulletin!.
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