Artificial Intelligence

Artificial Intelligence

AI will not replace you but person using AI will🚀 I make Artificial Intelligence easy for everyone so you can start with minimum effort. 🚀Artificial Intelligence 🚀Machine Learning 🚀Deep Learning 🚀Data Science 🚀Python + R 🚀AR and VR Dm @Aiindian

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**This is like Claude Design for electronics** 🤯 It’s called Blueprint. Type what you want to build and it generates everything you need for your Arduino or Raspberry Pi project. → Wiring diagrams → Bills of materials → Step-by-step assembly guides 100% Free. Project https://www.blueprint.am/ Follow : https://whatsapp.com/channel/0029Va8iIT7KbYMOIWdNVu2Q
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🔥**10 Claude prompts you can use daily to transform your everyday life**. 1. The Daily Strategist “These are my tasks for today: [paste list]. My main goal this week is [goal]. Prioritize them by real impact, not urgency. Eliminate anything I can delegate or ignore. Group the 3 most important into a 3-hour deep work block and tell me the order to do them in and why.” 2. The Speed Reader “I’m going to share a document/article/PDF. Read it and give me: a 3-line executive summary, the 5 key poi
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**If I were starting AI again in 2026, I would focus on RAG first** Today companies are hiring engineers who can build complete AI systems. If you really want your AI portfolio to stand out, stop building basic chatbots and **start building RAG** applications. Because Retrieval-Augmented Generation (RAG) is becoming the backbone of: → Enterprise AI systems → AI copilots → Research assistants → AI agents → Knowledge management platforms → Internal company GPTs **Here are 10 powerful RAG pr
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**MIT made its entire AI & ML library 100% FREE to access.** These 12 books are the best place to start 👇 ↳ 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 1. Foundations of Machine Learning https://cs.nyu.edu/~mohri/mlbook/ The mathematical backbone of ML - algorithms, theory, and how models actually learn. 2. Understanding Deep Learning https://udlbook.github.io/udlbook/ Neural networks explained visually and intuitively, from basics to modern architectures. 3. Deep Learning https://www.deeplearningbook.org/
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AI-powered robot that identifies weeds using computer vision & eliminates them with lasers, reducing the need for harmful pesticides. This startup has developed an AI-powered robot that roams through farms, uses computer vision to identify unwanted weeds & then eliminates them with pinpoint laser precision without spraying harmful pesticides across entire fields. Think about the complexity behind this: ✅ Real-time Computer Vision ✅ Object Detection in Uncontrolled Environments ✅ Edge AI Proce
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