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Will AI Ever Have Common Sense?

The Joy of Why

CHAPTER

Neural Network Training Explained

This chapter explores the stages of training neural networks, focusing on pre-training for probability maximization and post-training that uses reinforcement learning with human feedback. It also uses the analogy of tennis to illustrate how machines learn through feedback and corrections, emphasizing the importance of adjusting weights through backpropagation.

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