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DeepSeek AI = a comprehensive guide for enterprise implementation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	DeepSeek AI / Utpal Chakraborty.
其他題名:	a comprehensive guide for enterprise implementation /
作者:	Chakraborty, Utpal.
面頁冊數:	1 online resource (262 pages)
標題:	COMPUTERS / Artificial Intelligence / Natural Language Processing. -
電子資源:	https://portal.igpublish.com/iglibrary/search/BPB0000743.html
ISBN:	9789365895537

DeepSeek AI = a comprehensive guide for enterprise implementation /
Chakraborty, Utpal.

DeepSeek AI a comprehensive guide for enterprise implementation /[electronic resource] ：Utpal Chakraborty. - 1 online resource (262 pages)

Includes bibliographical references and index.

DeepSeek AI : a comprehensive guide for enterprise implementation -- About the Author -- Acknowledgement -- Preface -- Errata -- Table of Contents -- Chapter 1. Introduction to AI’s Next Leap with DeepSeek -- Chapter 2. Evolution of AI Systems: From GPT to DeepSeek -- Chapter 3. Simplified Overview of How DeepSeek Works -- Chapter 4. The Transformer Model and Its Evolution -- Chapter 5. DeepSeek’s Architecture Beyond Traditional AI -- Chapter 6. DeepSeek vs. State-of-the- Art Models -- Chapter 7. DeepSeek and Paradigm Shifts in AI -- Chapter 8. Neural Networks and Attention Mechanisms in DeepSeek -- Chapter 9. Training and Fine-tuning in DeepSeek -- Chapter 10. Multimodal Capabilities: Understanding Text, Images, and More -- Chapter 11. Ethical Considerations -- Chapter 12. Future of AI with DeepSeek -- Chapter 13. DeepSeek in Natural Language Processing -- Chapter 14. AI in Business: Automating Reports and Summarization -- Chapter 15. Enhancing Customer Support with AI Chatbots -- Chapter 16. Legal and Financial Applications in AI-powered Compliance -- Chapter 17. Healthcare AI for Early Disease Detection and Diagnosis -- Chapter 18. DeepSeek in Education for Personalized Learning and Tutoring -- Chapter 19. AI for Journalism for Automated News Generation -- Chapter 20. DeepSeek in Scientific Research and Data Analysis -- Chapter 21. AI for Content Creation -- Chapter 22. DeepSeek in Code Generation and Software Development -- Chapter 23. AI for Developers: Writing and Debugging Code with DeepSeek -- Chapter 24. Multilingual Capabilities like Realtime Translation with DeepSeek -- Chapter 25. Video Analysis and Summarization with DeepSeek -- Chapter 26. AI in Gaming -- Chapter 27. AI for E-commerce: Personalized Recommendations and Reviews -- Chapter 28. Cybersecurity and AI -- Chapter 29. AI in Robotics for Enhancing Human-machine Collaboration -- Chapter 30. DeepSeek in Smart Cities -- Chapter 31. AI in Social Media -- Chapter 32. DeepSeek in Marketing and Advertising -- Chapter 33. Installation and Configuration of DeepSeek -- Chapter 34. Training Custom Models with DeepSeek -- Chapter 35. Fine-tuning DeepSeek for Domain-specific Applications -- Chapter 36. Best Practices to Optimize DeepSeek Performance -- Chapter 37. Challenges and Strategies of Deploying DeepSeek in Production -- Chapter 38. DeepSeek APIs: Integration with Existing Applications -- Chapter 39. Scaling AI Workloads: Distributed Computing and Cloud Deployment -- Chapter 40. AI for Edge Devices -- Chapter 41. Building Your Own AI Projects with DeepSeek -- Chapter 42. Future Trends in AI.

Access restricted to authorized users and institutions.

This guide takes readers from core concepts to practical implementations, showcasing DeepSeek's capabilities across industries. Starting with AI evolution and DeepSeek's technical foundations, the book establishes a framework for understanding its innovative problem-solving approach. This technical volume examines DeepSeek's evolution beyond traditional transformer-based models, addressing GPT legacy limitations through architectural innovations and efficiency optimizations. The text explores DeepSeek's layered approach, attention mechanisms, multimodal fusion techniques, and training methodologies across natural language processing, healthcare, education, and cybersecurity applications. Technical frameworks for installation, custom model training, domain-specific fine-tuning, and API integration are documented with performance optimization strategies for production deployment. Implementation approaches span code generation, multilingual translation, video analysis, scientific research, and edge computing. The book details DeepSeek's application in business automation, content creation, smart cities, and social media analytics while examining integration challenges in distributed systems. The technical progression concludes with analysis of AI evolution toward artificial general intelligence development. By the time you complete this comprehensive guide, you will possess the technical knowledge to implement DeepSeek in production environments, create custom AI solutions, optimize performance, and integrate advanced AI capabilities into your existing systems. WHAT YOU WILL LEARN ● Master DeepSeek's Transformer architecture with multimodal fusion techniques for processing text, images, and diverse data types simultaneously. ● Develop custom training pipelines for domain-specific NLP applications and medical diagnostic systems with early detection algorithms. ● Build code generation systems with debugging automation alongside multilingual translation capabilities preserving semantic accuracy. ● Implement cloud-based distributed computing while creating edge AI solutions using model compression for resource-constrained devices. ● Create API integration frameworks while deploying cybersecurity systems for threat detection and attack prevention. ● Provides forward-looking insights into AI's evolution toward artificial general intelligence, preparing the readers for future technological developments in the field. WHO THIS BOOK IS FOR This book is designed for data scientists, ML engineers, AI researchers, software developers, and technical leaders seeking to implement cutting-edge AI solutions. Readers should have a foundational understanding of ML concepts, basic programming skills, and familiarity with neural networks, though extensive AI expertise is not required to benefit from the practical applications covered.

Mode of access: World Wide Web.

ISBN: 9789365895537Subjects--Topical Terms:

1483851
COMPUTERS / Artificial Intelligence / Natural Language Processing.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q334.7.D44

Dewey Class. No.: 006.31

DeepSeek AI = a comprehensive guide for enterprise implementation /
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506 # $a Access restricted to authorized users and institutions.
520 3 $a This guide takes readers from core concepts to practical implementations, showcasing DeepSeek's capabilities across industries. Starting with AI evolution and DeepSeek's technical foundations, the book establishes a framework for understanding its innovative problem-solving approach. This technical volume examines DeepSeek's evolution beyond traditional transformer-based models, addressing GPT legacy limitations through architectural innovations and efficiency optimizations. The text explores DeepSeek's layered approach, attention mechanisms, multimodal fusion techniques, and training methodologies across natural language processing, healthcare, education, and cybersecurity applications. Technical frameworks for installation, custom model training, domain-specific fine-tuning, and API integration are documented with performance optimization strategies for production deployment. Implementation approaches span code generation, multilingual translation, video analysis, scientific research, and edge computing. The book details DeepSeek's application in business automation, content creation, smart cities, and social media analytics while examining integration challenges in distributed systems. The technical progression concludes with analysis of AI evolution toward artificial general intelligence development. By the time you complete this comprehensive guide, you will possess the technical knowledge to implement DeepSeek in production environments, create custom AI solutions, optimize performance, and integrate advanced AI capabilities into your existing systems. WHAT YOU WILL LEARN ● Master DeepSeek's Transformer architecture with multimodal fusion techniques for processing text, images, and diverse data types simultaneously. ● Develop custom training pipelines for domain-specific NLP applications and medical diagnostic systems with early detection algorithms. ● Build code generation systems with debugging automation alongside multilingual translation capabilities preserving semantic accuracy. ● Implement cloud-based distributed computing while creating edge AI solutions using model compression for resource-constrained devices. ● Create API integration frameworks while deploying cybersecurity systems for threat detection and attack prevention. ● Provides forward-looking insights into AI's evolution toward artificial general intelligence, preparing the readers for future technological developments in the field. WHO THIS BOOK IS FOR This book is designed for data scientists, ML engineers, AI researchers, software developers, and technical leaders seeking to implement cutting-edge AI solutions. Readers should have a foundational understanding of ML concepts, basic programming skills, and familiarity with neural networks, though extensive AI expertise is not required to benefit from the practical applications covered.
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