Part 4/8:
AlphaGo’s innovative design allows it to learn autonomously without predetermined instructions. Initially trained using a vast dataset of 100,000 amateur games, it eventually evolved through self-play—conducting 30 million games against itself, thus refining its strategies and increasing its win rate. This model-free reinforcement learning is what makes AlphaGo distinct from narrowly-focused AIs like IBM's Watson or Google’s Assistant.