Burkov posts model serving curriculum

- AI practitioner @burkov published a comprehensive model serving curriculum on ChapterPal covering Transformer internals, optimizations like FlashAttention, quantization techniques and serving strategies for production inference. (x.com) - The guide specifically names quantization methods such as GPTQ and AWQ, plus batching, caching and fallback logic useful for real‑world inference engineering and interview prep. (x.com) - Engineers prepping for inference roles are treating the curriculum as a practical primer to demonstrate production LLM serving competence in interviews. (x.com)