Hands-On Multimodal AI System Design
@aiengineeringinsiderBook preview:
https://drive.google.com/file/d/13dYkNuuPGuQErbEBmgNsW6kSC8nHiGSS/view?usp=sharing
Artificial Intelligence is migrating from text-only chatbots to native multimodal intelligence. "Hands-On Multi-Modal AI System Design" delivers the practical knowledge needed to architect, build, and deploy complete multimodal systems.
Across ten structured chapters, you will build a production-ready assistant capable of text generation, document OCR, speech-to-text, 24kHz audio synthesis, video summarization, local PDF RAG, and fast image generation. Everything runs 100% locally on standard consumer hardware using state-of-the-art open-source models including Qwen3, Qwen2-VL, Whisper, Kokoro, and FLUX.
Beyond building software, this book prepares you to pass senior AI engineering system design interviews at top tech companies by explaining the core mathematical and architectural trade-offs behind modality alignment, token compression, MoE routing, and serving optimizations.