{
  "type": "edition",
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  "title": "Vision Language AI",
  "subtitle": null,
  "url": "https://www.kolczanksiazek.pl/vikram-sivakumar/vision-language-ai/9788167080646",
  "publisher": "BPB Publications (Z chęcią przeczytam książkę w języku polskim)",
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  "medium": "paper",
  "duration_seconds": null,
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  "isbn": "978-81-6708-064-6",
  "pages": 470,
  "published": null,
  "language": "pl_PL",
  "cover": "https://quivercdn.com/covers/bpb-publications-z-checia-przeczytam-ksiazke-w-jezyku-polskim/vikram-sivakumar/vision-language-ai_978-81-6708-064-6-7da91889.webp?v=2026-11-05%2002%3A30%3A18",
  "json": "https://www.kolczanksiazek.pl/vikram-sivakumar/vision-language-ai/9788167080646.json",
  "markdown": "https://www.kolczanksiazek.pl/vikram-sivakumar/vision-language-ai/9788167080646.md",
  "binding": "Softcover",
  "description": "Description While most resources treat vision and language as separate domains, the future of AI demands their seamless integration. Vision Language Models (VLMs) represent the frontier of AI, revolutionizing industries from healthcare to autonomous systems, but implementing them remains a complex challenge. This includes integration challenges, deployment complexity, and real-world performance issues. This book helps you move from theoretical AI concepts to production-ready systems. This book takes you from foundational concepts to deployed, scalable VLM systems through real-world projects across five industries. You will explore the complete development lifecycle from data preprocessing and model architecture to optimization techniques and production deployment strategies. Designed around practical application, every chapter provides battle-tested solutions, complete code implementations, and adaptable architectural patterns that work in live environments. The book will help you build the multimodal AI applications that will define the next decade of technology. By the end of this book, you will possess the practical skills and architectural expertise needed to build, scale, and manage production-ready Vision Language Models safely and effectively across any domain. What you will learn Build, fine-tune, and deploy VLMs from scratch. Master multimodal training, prompt engineering, and optimization. Deploy on cloud and edge with monitoring and security. Apply VLMs across healthcare, retail, and manufacturing. Design agentic AI systems that reason and act autonomously. Who this book is for This book is for current and aspiring AI/ML engineers, computer vision specialists, data scientists, technical product managers, and software architects with a basic foundation in Python programming, fundamental machine learning concepts, and deep learning principles using PyTorch. Table of Contents Part I: Fundamentals 1. Vision-Language Revolution 2. Understanding Vision-Language Architecture 3. Essential Models and Frameworks 4. Data Engineering for Multimodal AI Part II: Implementation 5. Building VLMs and Agentic AI from Scratch 6. Transfer Learning and Fine-tuning 7. Advanced Training Techniques 8. Model Evaluation and Benchmarking 9. Prompt Engineering and Interaction Design Part III: Optimization 10. Performance Optimization 11. Scaling and Distributed Systems 12. Edge Deployment and Mobile Integration Part IV: Deployment 13. Cloud Deployment Strategies 14. Monitoring and Maintenance 15. Privacy and Security Part V: Business Applications 16. Healthcare Applications 17. Autonomous and Agentic Systems 18. E-commerce and Retail 19. Manufacturing and Quality Control 20. Content Creation and Media 21. Ethical and Responsible AI Appendix A. Notations and Metrics Appendix B. Hardware and Software Setup Appendix C. Troubleshooting Appendix D. Further reading Appendix E. Using the Code Repository",
  "book": {
    "title": "Vision Language AI",
    "slug": "vision-language-ai",
    "url": "https://www.kolczanksiazek.pl/vikram-sivakumar/vision-language-ai"
  },
  "authors": [
    {
      "name": "Vikram Sivakumar",
      "slug": "vikram-sivakumar",
      "url": "https://www.kolczanksiazek.pl/vikram-sivakumar"
    }
  ]
}
