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    Home » Computers & Internet » Generative AI in C++: Coding Transformers and LLMs (Generative AI LLM Programming)
    Computers & Internet

    Generative AI in C++: Coding Transformers and LLMs (Generative AI LLM Programming)

    TeamBy TeamNovember 8, 2025No Comments2 Mins Read1 Views
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    1762599146 61YctbXCQCL. SL1499 Generative AI in C++: Coding Transformers and LLMs (Generative AI LLM Programming) Edu Expertise Hub Generative AI
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    Price: $17.95
    (as of Nov 08, 2025 10:52:27 UTC – Details)

    amazon buy now button 300x148 1 Generative AI in C++: Coding Transformers and LLMs (Generative AI LLM Programming) Edu Expertise Hub Generative AI

    Do you know C++ but not AI? Do you dream of writing your own AI engine in C++? From beginner to advanced, this book covers the internals of AI engines in C++, with real source code examples and research paper citations.

    Key FeaturesTransformer components in C++Faster and smarter AIPlay with an AI engine on your desktopCutting-edge research optimizationsJust C++ code without all the math
    Table of Contents

    Part I: AI Projects in C++
    1. Introduction to AI in C++
    2. Transformers & LLMs
    3. AI Phones
    4. AI on Your Desktop
    5. Design Choices & Architectures
    6. Training, Fine-Tuning & RAG
    7. Deployment Architecture

    Part II: Basic C++ Optimizations
    8. Bitwise Operations
    9. Floating Point Arithmetic
    10. Arithmetic Optimizations
    11. Compile-Time Optimizations
    12. Pointer Arithmetic
    13. Algorithm Speedups
    14. Memory Optimizations

    Part III: Parallel C++ Optimizations
    15. Loop Vectorization
    16. Hardware Acceleration
    17. AVX Intrinsics
    18. Parallel Data Structures

    Part IV: Transformer Components in C++
    19. Encoders & Decoders
    20. Attention
    21. Activation Functions
    22. Vector Algorithms
    23. Tensors
    24. Normalization
    25. Softmax
    26. Decoding Algorithms
    27. Tokenizer and Vocabulary

    Part V: Optimizing Transformers in C++
    28. Deslugging AI Engines
    29. Caching Optimizations
    30. Vectorization
    31. Kernel Fusion
    32. Quantization
    33. Pruning
    34. MatMul/GEMM
    35. Lookup Tables & Precomputation
    36. AI Memory Optimizations

    Part VI: Enterprise AI in C++
    37. Tuning, Profiling & Benchmarking
    38. Platform Portability
    39. Quality
    40. Reliability
    41. Self-Testing Code
    42. Debugging

    Part VII: Research on AI Optimization
    43. Overview of AI Research
    44. Advanced Quantization
    45. Knowledge Distillation
    46. Structured Pruning
    47. Early Exit and Layer Pruning
    48. Width Pruning
    49. Length Pruning
    50. Adaptive Inference
    51. Zero-Multiplication Models
    52. Logarithmic Models
    53. Arithmetic Optimization Research
    54. Ensemble Multi-Model Architectures
    55. Advanced Number Systems
    56. Neural Architecture Search
    Appendix 1: C++ Slug Catalog

    ASIN ‏ : ‎ B0D14LHGZ6
    Publisher ‏ : ‎ Independently published
    Publication date ‏ : ‎ April 8, 2024
    Language ‏ : ‎ English
    Print length ‏ : ‎ 766 pages
    ISBN-13 ‏ : ‎ 979-8871928684
    Item Weight ‏ : ‎ 2.76 pounds
    Dimensions ‏ : ‎ 6 x 1.73 x 9 inches
    Part of series ‏ : ‎ Generative AI LLM Programming
    Best Sellers Rank: #784,096 in Books (See Top 100 in Books) #11 in Parallel Computer Programming #1,151 in Web Development & Design Programming #2,714 in Computer Science (Books)
    Customer Reviews: 4.1 4.1 out of 5 stars 13 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });

    This post is exclusively published on eduexpertisehub.com
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