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Representation Engineering (Activation Hacking)
Practical AI: Machine Learning, Data Science, LLM
Exploring Control Vectors in AI Model Manipulation
18min Snip
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The chapter delves into the challenges of manipulating AI models to produce specific outputs, discussing concepts like representation engineering and activation hacking. It explains the significance of control vectors in modifying model outputs without changing the underlying architecture. The conversation also covers the application of control vectors in creating tailored responses in AI models for various scenarios, including interactions in fast food restaurants.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode