@TheoHubLab
Joined March 2026
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  • Following34
  • Followers8
Théo Hubert retweeted
AlphaEdge@AI_AlphaEdgeOct 20
👀 Three OCR APIs, one complex table, focus on section IV: • DeepSeek: 35+s, only partly reproduced & filled. • Mistral: 3.98s, structure not fully preserved. • AlphaDigitMax v2: 5.9s, table reproduced & filled + reliability score. More tests soon. 🤗
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Théo Hubert retweeted
AlphaEdge@AI_AlphaEdgeOct 15
Comment l’IA peut-elle sécuriser l’analyse de gouvernance et réduire le Time-to-Revenue ? Le 28/10 à 11h, avec Evarist, nous répondons en direct sur un cas KYB réaliste : 45 min de démo et de questions. Pour les équipes conformité, KYB/KYC et risques, en banque et assurance. 🧵
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Théo Hubert retweeted
Loïck BOURDOIS@BdsLoickOct 12
New open-source SOTA for French sparse retrieval! 👀 First, for those unfamiliar with this type of models, a sparse embedding model offers the advantage of being able to retrieve synonyms for words in a user query, whereas good old BM25 only retrieves exact matches.
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Théo Hubert retweeted
AlphaEdge@AI_AlphaEdgeOct 8
Our OCR model AlphaDigitMax v2 scores 89.4% on olmOCR-Bench (@allen_ai): the best overall score among the 10 systems we evaluated, ahead of Chandra (86.9%) and Mistral OCR (83.8%). All three AlphaDigit v2 models rank in the top 5 🧵
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Théo Hubert retweeted
AlphaEdge@AI_AlphaEdgeOct 7
Hi X 👋 We're AlphaEdge, a French AI deeptech based in Angers. We design our own models from the ground up: compact, specialized, and built to run where your data lives (sovereign cloud, your own servers, or on-device). A quick thread on who we are and what's coming 🧵
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Théo Hubert retweeted
Loïck BOURDOIS@BdsLoickMay 28
New blog post on @huggingface! An introdution to Trimming ✂️ a little-known but highly effective model reduction method. We achieved up to 87.24% size reduction while preserving performance 🧵
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