The chapter delves into the workings of transformers and diffusion models, discussing how information is processed and transformed. It compares the processing mechanisms of AI models to human cognition, touching on non-verbal processes and subconscious computations. Insights into transformer language models, sampling techniques, and the practical aspects of AI work using PyTorch, Jax, and TensorFlow are shared.

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