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Multimodal AI: Text, Image, and Audio Systems
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This book teaches multimodal AI in simple language. It covers text, image, and audio representations, fusion methods, multimodal transformers, practical tasks, evaluation, and how to build production-oriented multimodal systems.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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01Chapter 1: Introduction to Multimodal AI02Chapter 2: Embeddings and Representation Alignment03Chapter 3: Text and Image Tasks04Chapter 4: Text and Audio Tasks05Chapter 5: Vision Encoders and Audio Encoders06Chapter 6: Fusion Methods and Cross-Attention07Chapter 7: Multimodal Transformers and Large Multimodal Models08Chapter 8: Datasets, Labeling, and Preprocessing09Chapter 9: Fine-Tuning and Adapter Methods10Chapter 10: Captioning and Image Understanding11Chapter 11: Visual Question Answering and Document AI12Chapter 12: Speech Understanding and Voice Assistants13Chapter 13: Image Generation and Editing Workflows14Chapter 14: Multimodal Search and RAG15Chapter 15: Evaluation, Bias, and Safety16Chapter 16: Capstone: Build a Multimodal Assistant17Appendix A: Commands and Workflow Cheat Sheet18Appendix B: Reference Architectures and Patterns19Appendix C: Common Mistakes and Fixes20Appendix D: Best Practices Summary
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