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Building LLMs from scratch is no longer just an academic exercise; it's essential for understanding the efficiency trade-offs in modern production models.

• –Support for Llama and Qwen architectures allows developers to swap modern weights into a transparent, hand-coded codebase
• –New "Reasoning Model" chapters track the industry's shift toward inference-time scaling and RLVR
• –Performance optimizations for Apple Silicon and consumer hardware make local model experimentation accessible to hobbyists
• –The accompanying "LLM Architecture Gallery" provides the most up-to-date comparison of model fact sheets in the ecosystem