·17.1 Why Is Generating Language Hard?(Goal: Understand why getting computers togeneratehuman-like text is more challenging than simply reading or classifying text.)
17.2 Recurrent Neural Networks (RNNs) – Memory in Sequences(Goal: Learn how RNNs enable deep networks to generate sequences by keeping a “memory” of previous inputs.)
17.3 Translating Languages with Deep Networks(Goal: Discover how deep learning approaches (sequence-to-sequence models) revolutionized machine translation, achieving near human-level translation quality.)
17.4 AI Storytelling – Generating Text Creatively(Goal: See how AI cangenerate creative textby predicting one piece at a time, illustrated by a game of progressive story expansion.)
17.5 The Rise of Powerful Language Models(Goal: Introduce modernadvanced language models(like Transformer-based models) that can generate remarkably human-like text, and discuss their impact.)