DeepSeek in Action : LLM Deployment, Fine-Tuning, and Application (Hardcover)

Part I: Theoretical Foundations and Technical Architecture of Generative AI??1. Core Principles of Transformer and Attention Mechanisms? 2 DeepSeek-V3 Core Architecture and its Training Techniques in Detail? 3 Introduction to DeepSeek-V3 Model-Based Development??Part II: Development and Application of Generative AI and Advanced Prompt Design??4. A First Look at the DeepSeek-V3 Big Model? 5. DeepSeek Open Platform and API Development Details? 6. Dialogue Generation, Code Completion, and Customized Model Development? 7. Conversation Prefix Completion, FIM and JSON Output Development Details? 8. Callback Functions and Contextual Disk Caching? 9. The DeepSeek Prompt Library: Exploring More Possibilities for Prompts??Part III: Integration of Practical Experience and Advanced Applications??10. Integration Practice 1: LLM-Based Chat Client Development? 11. Integration Hands-On 2: AI Assisted Development? 12. Integration Practice 3: Assisted Programming Plugin Development Based on VS Code