How Large Language Models Are Trained (Step-by-Step) скачать в хорошем качестве

How Large Language Models Are Trained (Step-by-Step)

How Large Language Models Are Trained (Step-by-Step) Have you ever wondered how AI models like ChatGPT actually learn language? In this video, we break down how Large Language Models (LLMs) are trained — step by step, in a simple, intuitive, and beginner-friendly way. No complex math. No confusing jargon. Just clear explanations, real-life analogies, and practical intuition. 🎯 What You’ll Learn in This Video: ✅ What a Large Language Model (LLM) really is ✅ Where training data comes from ✅ How text is converted into tokens ✅ How models learn patterns using prediction ✅ The role of neural networks, RNNs, LSTMs, and Transformers ✅ What pre-training and fine-tuning mean ✅ How models improve using feedback (RLHF) ✅ Why LLMs don’t “memorize” but learn patterns 🚀 Why Watch This? Most tutorials jump straight into theory. This video helps you build intuition first, so you actually understand what’s happening behind the scenes when an LLM generates text. If you’re learning GenAI, LLMs, or planning a career shift into AI, this video will give you a strong foundation. 🔔 Don’t Forget: 👍 Like the video if it helped you 💬 Comment your questions — I reply to all 📌 Subscribe for GenAI, LLMs, and AI career guidance