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612-822-4611
Multimodal AI Systems: Architectures, Training, and Applications

Multimodal AI Systems: Architectures, Training, and Applications

Paperback

Series: Transformer Principles, Book 3

General Computers

ISBN13: 9798184326054
Publisher: Independently Published
Published: Jun 26 2026
Pages: 480
Weight: 2.43
Height: 0.97 Width: 8.50 Depth: 11.00
Language: English
The Transformer Principles Series is a three-volume graduate-level treatise that builds a complete mathematical and engineering understanding of modern AI systems, from the foundational attention mechanism to large language models and multimodal architectures.

Volume III - Multimodal AI Systems: Architectures, Training, and Applications extends the Transformer paradigm beyond text into vision, audio, and video. It covers modality-specific encoders and tokenizers, cross-modal fusion and contrastive alignment (CLIP, SigLIP), diffusion and flow-matching generative models, vision-language architectures (ViT, LLaVA, Q-Former), text-to-image and text-to-video generation, speech and audio processing, efficient inference for multimodal models, long-context scaling, and reasoning agents that perceive and act across modalities.

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General Computers