This chapter highlights the significance of in-context learning for transformer models, using GPT-4's few-shot learning abilities as an example. It explores in-context learning in various domains, including multimodal models and robotics, and emphasizes its importance for AI implementation and understanding. The chapter discusses the flexibility of AI compared to traditional automation and its gradual integration into existing processes.

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