Скачать или смотреть AI Buzzwords Explained II: how LLMs are trained

This comprehensive guide breaks down advanced AI concepts in plain English, focusing on the three pillars driving the LLM revolution (data, compute, and algorithms) and on the three stages of LLM training (pre-training, fine-tuning, and RLHF).

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Understand advanced AI concepts in plain English - finally end your tech impostor syndrome! Perfect for business professionals, leaders, and anyone wanting to discuss AI confidently.


🔑 KEY TOPICS COVERED:
✓ Why LLMs are the cornerstone of modern AI
✓ Big Data's role in AI development
✓ How neural networks actually learn
✓ Training vs Inference explained
✓ The three stages of LLM education:
1. Pre-training
2. Fine-tuning
3. RLHF (Reinforcement Learning from Human Feedback)
✓ How LLMs are scaled
✓ The different types of AI algorithms:
1. Architectures
2. Algorithms from the learning paradigms
✓ The four main learning paradigms:
1. Supervised learning
2. Unsupervised learning
3. Reinforcement learning
4. Self-supervised learning
✓ Real-world applications and implications


Whether you're a business professional, developer, or just curious about AI, this video will help you understand:


✓ How ChatGPT and similar AI models actually work
✓ Why data and compute are becoming the new oil
✓ What makes modern AI and machine learning different from previous approaches
✓ How LLMs like ChatGPT are scaled to become smarter



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👉 My book on Amazon: https://mybook.to/theairider


TIMESTAMPS:
0:00 Intro
2:52 How Large Language Models get more intelligent (LLMs)
6:28 Scaling LLMs versus Algorithmic Progress
9:40 Big Data in artificial intelligence training
16:53 Types of algorithms in machine learning
19:10 What's inside a neural network (and inside LLMs too)
23:59 The main types of learning paradigms in machine learning
28:45 The stages of LLM training
30:00 Pre-training explained
35:07 Fine-tuning explained
38:36 RLHF explained (Reinforcement Learning from Human Feedback)
41:27 Why LLMs got so intelligent
#ArtificialIntelligence #llm #TechEducation