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Understanding AI: From Filters to Generative Models
This chapter delves into the distinctions between traditional software filters and modern AI models, emphasizing the unique flexibility and human influence in machine learning. It provides insights into the misconceptions surrounding AI, explaining fundamental concepts and the evolution from supervised learning to advanced generative techniques. The chapter highlights the transformative impact of foundation models in generative AI, showcasing their applications across various mediums and how they can be fine-tuned for specific tasks.