AI Game Production
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脅威 → コントロール → 要件 → 検証。AIエージェントを出荷する前に読むフィールドマニュアル。
- LLM Quantization RecipesA Practical Guide to Compressing Large Language Models Without Losing Their IntelligenceSteve Publications
LLMs are too big for single GPUs, but quantization fixes that. This book cuts through the hype to show you how to actually compress models using GPTQ, AWQ, GGUF, and NF4 without losing quality. You get real benchmarks, working code, and a clear way to pick the right tool for your hardware. Stop guessing and start deploying efficient models today.
- Building AI Search SystemsA Practical Guide to Production-Ready AI Search & Analytics Pipelines in PythonD. W. Collins
Build production-ready AI applications from first principles. Using Querybase as a practical case study, this book teaches Python, software architecture, retrieval, and deterministic AI pipelines. Learn to design maintainable, scalable systems without relying on framework magic or black-box abstractions.
- GPU Parallel Processing for Massive Document CollectionsKrzysztof KołekNo Description Available
Game producers already have most of what AI collaboration requires. They have been managing context, decomposing work, and evaluating output for years. This book is the map from where they are to where the work is going.
