LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production: Paul Iusztin, Maxime Labonne: 9781836200079: Amazon.com: Books
Weights & Biases handles experiment tracking; Phoenix covers production observability. These are the practices that separate a working prototype from a maintainable production system. Open-weights models require inference infrastructure that handles batching (serving multiple requests simultaneously to maximize GPU utilization) and quantization (reducing numerical precision to lower memory footprint and increase throughput). I’ll also include […]