Overview
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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Details
- ISBN-13: 9798184326054
- ISBN-10: 9798184326054
- Publisher: Independently Published
- Publish Date: June 2026
- Dimensions: 11 x 8.5 x 0.97 inches
- Shipping Weight: 2.43 pounds
- Page Count: 480
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