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Controlling Models in AI: Strategies and Applications
This chapter explores the challenges of controlling AI models to produce desired outputs, discussing representation engineering and activation hacking. It delves into control vectors, prompt engineering, and modifying output decoding to influence model behavior and generate specific responses. The application of AI systems in fast-food restaurant scenarios, focusing on enhancing customer interactions through models generating happy responses, is also discussed.