Prior Labs
@prior_labs
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Building foundation models for tabular data. We're hiring: https://t.co/RH6VHsy5EB
Freiburg / Berlin
Joined May 2023
RT @jeremyakahn: Exclusive: AI has struggled to analyze tables and spreadsheets. This German startup thinks its breakthrough is about to ch…
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RT @FortuneMagazine: Exclusive: @prior_labs has secured $9.3 million in pre-seed funding to build out their breakthrough AI models for deal…
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RT @FrankRHutter: DeepSeek-R1 is a cheap, non-US, open-source foundation model challenging US market leaders … and so is TabPFN v2! Happy t…
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RT @FrankRHutter: Great to see the community building on TabPFNv2 with these powerful extensions: - shapiq for interpretability https://t.c…
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We are live with @FrankRHutter on our Discord for the next 40 minutes and great to see all the questions! Tune in if you're interested 🚀 #tabpfn
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@FrankRHutter is doing an AMA on our Discord this Wednesday from 5-6pm CET! Come by and ask any questions you have on TabPFN!
Do you have questions about #TabPFN (v2)? I'm holding an AMA on Discord on Wednesday, January 22, 5-6pm CET (11am - 12pm EST). Come by, ask questions, give feedback, and learn what else we’re working on 🙂 Details in the @prior_labs TabPFN Discord here:
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RT @prior_labs: Tried TabPFN v2 yet? Then please share your feedback in just 5 mins 🙏: It's been 1 week since TabP…
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RT @jamesbrinkhoff: Tested out the newly update tabPFN foundation model for tabular ML on macadamia yield forecasting data. In summary, qui…
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Tried TabPFN v2 yet? Then please share your feedback in just 5 mins 🙏: It's been 1 week since TabPFN v2 was published in Nature! We’re thrilled by your support & keen to get feedback to shape the future of TabPFN 💡🛠️ #tabpfn #datascience #tabulardata
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RT @tryolabs: 2/3 💡 Our benchmarks revealed some interesting findings: - Outperforms AutoGluon in accuracy up to 50 columns - Delivers sign…
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Check out this independent evaluation of TabPFN v2 outperforming AutoGluon, XGBoost and Catboost! A new paradigm for tabular data is here. Thanks to @tryolabs team for their efforts 🙏 #tabpfn #tabulardata #foundationmodels
1/3 We've been hands-on testing the newly released TabPFN v2 from @prior_labs, and the results are compelling. After a decade of tree-based models dominating tabular data problems, it's refreshing to see new approaches challenging the status quo.
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RT @FrankRHutter: #TabPFN v2 also excels on time series! Just before our Nature paper came out, we had this paper at the #NeurIPS time seri…
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Fantastic article by @DuncanMcelfresh covering TabPFN v2. Check it out below 👇
Artificial intelligence is already used extensively to infer outcomes from tables of data, but this typically involves creating a model for each task. A one-size-fits-all model just made the process substantially easier
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RT @FrankRHutter: @tunguz Context for everyone: Tabular doesn't have individual standard datasets, but it has stan…
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RT @FrankRHutter: Unser Nature Papier zu TabPFN v2 mit dem neuen State of the Art für kleine tabulare Datensätze ist heute publiziert worde…
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