Deep Learning from Zero to Hero for Large Language Models
Table of Contents Introduction Part 1: Mathematical Foundations Part 2: Neural Network Fundamentals Part 3: Understanding Transformers Part 4: Large Language Models Explained Part 5: Training and Fine-Tuning LLMs Part 6: Practical Implementation Resources and Learning Paths Conclusion Introduction The rise of Large Language Models (LLMs) has revolutionized artificial intelligence and natural language processing. From ChatGPT to Claude to Gemini, these powerful systems can understand context, generate human-like text, and solve complex problems across domains. But how do they work? And more importantly, how can you learn to build them from scratch? ...