Next-Level Software Engineering with Machine Learning

8 Github repositories every AI Engineer should know! (Covering ML, RAG, PyTorch, MLOps, Agents) Bookmark them! 👇 1️⃣ AI Agents for Beginners Github - microsoft/ai-agents-for-beginners → A fantastic beginner-friendly course to get started with AI agents. Free 11-lesson hands-on curriculum - no fluff, just code. 2️⃣ Agents towards production Github - NirDiamant/agents-towards-production → It is your hands-on guide to every building block of a GenAI agent stack. 3️⃣ RAG Techniques Github - NirDiam

🚨 META JUST OPEN-SOURCED PURE-PYTHON 3D CHARACTER ANIMATION Meta dropped ai4animationpy — complete 3D character animation with zero game engines. Ships with: • Pure PyTorch NumPy AI motion • Full character animation pipeline • No heavy engines or hassle • Runs entirely in Python AI-powered 3D animation just became ridiculously simple. 👉 https://github.com/facebookresearch/ai4animationpy Who’s animating 3D characters in pure Python today? Drop a 🔥

Why Python Is The Number One Programming Language In AI

Computer Vision Engineer Roadmap | How To Become A Computer Vision Engineer | #Shorts | #Simplilearn

AI Engineer vs. ML Engineer: Key Differences Explained

Part 1 ~ Every Machine Learning Framework Explained Machine learning frameworks power everything from recommendation systems to self-driving cars. TensorFlow, PyTorch, Scikit-Learn, Keras, XGBoost, LightGBM, JAX, and FastAI explained simply in one video. ⏱️ Timestamps: 00:00​ - TensorFlow 00:52​ - Pytorch 01:33​ - Scikit-Learn 02:09​ - Keras 02:38​ - XGBoost 03:13​ - LightGBM 03:37​ - JAX 04:20​ - FastAI #programming​ #machinelearning​ #coding #aicoding​ #aiframeworks​ ​ ​ ​