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🚀 A fantastic resource for everyone who wants to understand how Qwen3 models work: Qwen3 From Scratch This is a detailed step-by-step guide to running and analyzing Qwen3 models — from 0.6B to 32B — from scratch, directly in PyTorch. 📌 What's inside: — How to load the Qwen3‑0.6B model and pretrained weights — Setting up the tokenizer and generating text — Support for the reasoning version of the model — Tricks to speed up inference: compilation, KV cache, batching 📊 The author also compares Qwen3 with Llama 3: ✔️ Model depth vs width ✔️ Performance on different hardware ✔️ How the 0.6B, 1.7B, 4B, 8B, 32B models behave ⚡️ Perfect if you want to understand how inference, tokenization, and the Qwen3 architecture work — without magic or black boxes. 🖥 Github

📈 METR: AI is starting its own "Moore's Law" When will AI be able to independently complete long projects? Researchers from METR found a pattern: the time horizon of tasks that AI agents can handle doubles every ~7 months. Now they tested this on 9 new benchmarks: MATH, OSWorld, LiveCodeBench, Mock AIME, GPQA Diamond, Tesla FSD, Video-MME, RLBench, and SWE-Bench Verified. Results: 🧠 Similar growth rates in science, math, robotics, programming, and even autopilot. ⚡️ New models like o3 grow faster than predicted — median doubling now ~4 months. 🕐 On reasoning tasks, agents last 1+ hour. 🖱 But in OS and browser — still about ~2 minutes, due to weak tools. > "Moore's Law for AI": not about chips — about the ability to think and work longer. Faster. Independently. AI agents grow not by days, but by benchmarks.

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Object in Python 🚘 Just look around, everything you see can be treated as an object. For instance a Car, Dog, your Laptop are all objects. An Object can be defined using 2 things: - Properties: that describe an object - Behaviour: the functions that an object can perform ...⬇️ For example, a Car is an object that has properties such as color & model, and behaviours such as accelerating, braking & turning. But, how do we create these objects❓🤔

15 Best Project Ideas for Python : 🐍 🚀 Beginner Level: 1. Simple Calculator 2. To-Do List 3. Number Guessing Game 4. Dice Rolling Simulator 5. Word Counter 🌟 Intermediate Level: 6. Weather App 7. URL Shortener 8. Movie Recommender System 9. Chatbot 10. Image Caption Generator 🌌 Advanced Level: 11. Stock Market Analysis 12. Autonomous Drone Control 13. Music Genre Classification 14. Real-Time Object Detection 15. Natural Language Processing (NLP) Sentiment Analysis