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Mastery of Generative AI, Volume II: The Practitioner's Depth - From Transformers to Production, A Complete Technical Reference for LLM Engineers
Paperback
Series: Mastery of Generative AI, Book 2
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Publisher: Independently Published
Pages: 640
Weight: 1.86
Height: 1.29 Width: 6.00 Depth: 9.00
Language: English
- Memory: KV-cache, FlashAttention, paged attention, gradient checkpointing
- Distributed training: data, tensor, pipeline, and expert parallelism
- Inference optimization: speculative decoding, quantization (INT8, INT4, FP8, AWQ, GPTQ), batching
- Prompt engineering and structured generation
- Retrieval-augmented generation: embeddings, hybrid retrieval, rerankers
- Deployment patterns, containerization, observability
- Fairness, bias, and responsible AI
- Evaluation: benchmarks, LLM-as-judge, detecting silent regressions
- Edge computing and on-device inference
- The next frontier and synthesis Aligned with the NVIDIA-Certified Professional: Generative AI LLMs and NVIDIA-Certified Professional: Agentic AI exams. While this book is not an official NVIDIA publication, it covers the public technical foundations these certifications assess. 12 chapters, plus Implementation Guide (Appendix B), Performance Optimization Checklists (Appendix C), Bibliography (Appendix D), Glossary (Appendix E), and Volume II Index (Appendix F). Volume I - The Conceptual Core - covers the conceptual foundations: transformers, alignment, scaling laws (Chapters 1-9).
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