it's so over: → claude.com/claude-for-word claude.com/claude-for-word
TOOLS
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Graphify: A New Knowledge Graph Tool for Claude Code
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Someone built Andrej Karpathy's dream tool 48 hours after he asked for it. Graphify is an open-source tool for Claude Code. Point it at any folder and one command builds a knowledge graph. It reads your code, docs, PDFs, and images. No vector database. No config files.
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Your Harness Equals Your Memory in LangChain
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your harness = your memory if you'd rather read in blog form, link here: blog.langchain.com/your-harn… Harrison Chase (@hwchase17) x.com/i/article/204292509094… — https://nitter.net/hwchase17/status/2042978500567609738#m
→ View original post on X — @langchain, 2026-04-11 14:53 UTC
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Claude for Word Beta Launch: Microsoft’s Response to AI Integration
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💥 @Claudeai for Word is now in beta
— Charly Wargnier (@DataChaz) 11 avril 2026
Microsoft rn: https://t.co/Et5gPsXpE5 pic.twitter.com/OLWAySDKAj💥 @Claudeai for Word is now in beta Microsoft rn: Claude (@claudeai) Claude for Word is now in beta. Draft, edit, and revise documents directly from the sidebar. Claude preserves your formatting, and edits appear as tracked changes. Available on Team and Enterprise plans. — https://nitter.net/claudeai/status/2042670341915295865#m
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Ensemble Classifiers in Scikit Learn for Machine Learning
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Ensemble Classifiers in Scikit Learn! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Ensemble-Scikit References Haber, A. (2023, March 6). Ensemble learning in Scikit-learn and Python: Voting classifiers. Aleksandar Haber Blog. Retrieved March 9, 2025, from aleksandarhaber.com/ensemble… GeeksforGeeks. (2024, January 31). Random forest classifier using Scikit-learn. GeeksforGeeks. Retrieved March 9, 2025, from geeksforgeeks.org/random-for…
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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Deep Learning: A Visual Approach – Comprehensive Guide
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Deep Learning: A Visual Approach. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/DL-VA
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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Probability and Statistics Cheatsheets for Data Science
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Cheatsheets! #Probability and #Statistics for Data Science! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Probability-Stats-Ch
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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Top Data Science and AI Books to Read in 2026
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What're the Top Data Science and AI Books to Read! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/What-DSci-Books
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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R Reference Card for Data Mining and Analytics
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R Reference Card for Data Mining! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/R-Ref-Card-DataMinin…
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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LongCat: Advanced Image Editing With Long-Context Understanding
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LongCat: Scaling Image Editing With Long-Context Understanding
— Satya Mallick (@LearnOpenCV) 11 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context… pic.twitter.com/aYVvURSNLwLongCat: Scaling Image Editing With Long-Context Understanding In this episode of Artificial Intelligence: Papers and Concepts, we explore LongCat, a new approach to AI-powered image editing that focuses on handling complex, multi-step instructions with long-context understanding. Instead of making isolated edits, LongCat is designed to follow detailed prompts that require consistency across multiple changes bringing AI closer to real creative workflows. We break down why traditional image editing models struggle with sequential instructions, how LongCat maintains coherence across edits, and what this means for designers and creators working with AI tools. If you’re interested in generative image editing, multimodal models, or the future of AI-assisted creativity, this episode explains why LongCat represents an important step toward more controllable and context-aware image generation. Resources: Paper Link: arxiv.org/pdf/2512.07584v1 Interested in Computer Vision and AI consulting and product development services? Email us at contact@bigvision.ai or visit us at bigvision.ai
→ View original post on X — @learnopencv, 2026-04-11 14:12 UTC