The Process of #Data Cleaning
by @Python_Dv #DataScience #BigData
AI
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The Process of Data Cleaning in Data Science and Big Data
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AgriGoI AI Hackathon: Innovation for Smart Agriculture
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See @AgriGoI opening doors for innovators through the AI Hackathon! From crop prediction to smart irrigation , this is where ideas meet real-world impact. Why you shouldn’t miss this: Win ₹3 Lakhs Collaborate directly with the Ministry Earn national recognitionIf
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HF Storage as Local Filesystem for Agentic Workflows
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Mounting HF storage as a local filesystem is genius for agentic workflows. No more downloading entire datasets just to process a few files. Will play around with this for sure!
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Real Lab Robotics Demo Without Teleoperation Shows Practical Results
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One take, no teleop, actual lab tasks. That's the kind of robotics demo I want to see. Most robot demos are carefully staged, this looks like it actually works in a real setting.
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Q-Priming Improves Agent Reliability Through Clarification Requests
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The Q-priming part is really interesting. Making models 5x more likely to ask for clarification instead of guessing wrong is exactly what we need for agentic workflows. Right now most agents just confidently charge ahead with bad assumptions.
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Distilling Opus reasoning into 27B local model for production
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Distilling Opus reasoning into a 27B model that runs locally is incredible. The fact that tool calling works too makes this actually useful for production, not just benchmarks. Super excited to test its limits 😀
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BuildAI Pitch Event: Deep-Tech Solutions for India’s Challenges
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Ideas are everywhere.
Impact is rare. The BuildAI Pitch Event is looking for deep-tech AI startups building real solutions for India’s unique challenges. If you’re ready to move beyond ideas and create meaningful impact, this is your stage. Apply now: https://
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AI Book Launch: Rethinking Education in Brazil
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« Ne faites plus d’études » Notre livre avec @OlivierBabeau Sort au Brésil
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AI Royalty: Risk of European Competitiveness Loss
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Arthur Mensch proposes a royalty on AI actors to compensate creators and secure model training in Europe. Understandable intention. But you don't become competitive by making AI more expensive. The real risk is encouraging dominant players to cut off our access. [Translated from EN to English]
→ View original post on X — @alex_tsico, 2026-03-25 11:22 UTC