{"product_id":"b0cxjkcwx9","title":"Generative AI in C++: Coding Transformers and LLMs (C++ LLM Coding on CPU and GPU Book 1)","description":"\u003cp\u003eDo you know C++ but not AI? Do you dream of writing your own Generative AI engine in C++? From beginner to advanced, this book covers the internals of GPT-style Transformer engines and Large Language Models (LLMs) in C++, with source code examples and research paper citations.\u003c\/p\u003e\n\n\u003cp\u003eKey Features Transformer components in C++ Faster and smarter AI Open source LLMs Advanced software development Cutting-edge research optimizations Just C++ code without all the math Research papers literature survey\u003cbr\u003e\nTable of Contents\u003c\/p\u003e\n\n\u003cp\u003ePart I: AI Projects in C++\u003cbr\u003e\n1. Introduction to AI in C++\u003cbr\u003e\n2. Transformers \u0026amp; LLMs\u003cbr\u003e\n3. AI Phones\u003cbr\u003e\n4. AI on Your Desktop\u003cbr\u003e\n5. Design Choices \u0026amp; Architectures\u003cbr\u003e\n6. Training, Fine-Tuning \u0026amp; RAG\u003cbr\u003e\n7. Deployment Architecture\u003c\/p\u003e\n\n\u003cp\u003ePart II: Basic C++ Optimizations\u003cbr\u003e\n8. Bitwise Operations\u003cbr\u003e\n9. Floating Point Arithmetic\u003cbr\u003e\n10. Arithmetic Optimizations\u003cbr\u003e\n11. Compile-Time Optimizations\u003cbr\u003e\n12. Pointer Arithmetic\u003cbr\u003e\n13. Algorithm Speedups\u003cbr\u003e\n14. Memory Optimizations\u003c\/p\u003e\n\n\u003cp\u003ePart III: Parallel C++ Optimizations\u003cbr\u003e\n15. Loop Vectorization\u003cbr\u003e\n16. Hardware Acceleration\u003cbr\u003e\n17. AVX Intrinsics\u003cbr\u003e\n18. Parallel Data Structures\u003c\/p\u003e\n\n\u003cp\u003ePart IV: Transformer Components in C++\u003cbr\u003e\n19. Encoders \u0026amp; Decoders\u003cbr\u003e\n20. Attention\u003cbr\u003e\n21. Activation Functions\u003cbr\u003e\n22. Vector Algorithms\u003cbr\u003e\n23. Tensors\u003cbr\u003e\n24. Normalization\u003cbr\u003e\n25. Softmax\u003cbr\u003e\n26. Decoding Algorithms\u003cbr\u003e\n27. Tokenizer and Vocabulary\u003c\/p\u003e\n\n\u003cp\u003ePart V: Optimizing Transformers in C++\u003cbr\u003e\n28. Deslugging AI Engines\u003cbr\u003e\n29. Caching Optimizations\u003cbr\u003e\n30. Vectorization\u003cbr\u003e\n31. Kernel Fusion\u003cbr\u003e\n32. Quantization\u003cbr\u003e\n33. Pruning\u003cbr\u003e\n34. MatMul\/GEMM\u003cbr\u003e\n35. Lookup Tables \u0026amp; Precomputation\u003cbr\u003e\n36. AI Memory Optimizations\u003c\/p\u003e\n\n\u003cp\u003ePart VI: Enterprise AI in C++\u003cbr\u003e\n37. Tuning, Profiling \u0026amp; Benchmarking\u003cbr\u003e\n38. Platform Portability\u003cbr\u003e\n39. Quality\u003cbr\u003e\n40. Reliability\u003cbr\u003e\n41. Self-Testing Code\u003cbr\u003e\n42. Debugging\u003c\/p\u003e\n\n\u003cp\u003ePart VII: Research on AI Optimization\u003cbr\u003e\n43. Overview of AI Research\u003cbr\u003e\n44. Advanced Quantization\u003cbr\u003e\n45. Knowledge Distillation\u003cbr\u003e\n46. Structured Pruning\u003cbr\u003e\n47. Early Exit and Layer Pruning\u003cbr\u003e\n48. Width Pruning\u003cbr\u003e\n49. Length Pruning\u003cbr\u003e\n50. Adaptive Inference\u003cbr\u003e\n51. Zero-Multiplication Models\u003cbr\u003e\n52. Logarithmic Models\u003cbr\u003e\n53. Arithmetic Optimization Research\u003cbr\u003e\n54. Ensemble Multi-Model Architectures\u003cbr\u003e\n55. Advanced Number Systems\u003cbr\u003e\n56. Neural Architecture Search\u003cbr\u003e\nAppendix 1: C++ Slug Catalog\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":52836734697688,"sku":"YSL63371","price":5.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0835\/3356\/2072\/files\/61nz6wv3qzL._SY1500.jpg?v=1793274259","url":"https:\/\/www.bookmebay.com\/products\/b0cxjkcwx9","provider":"BookMebay","version":"1.0","type":"link"}