Decoder-only LLM architecture and how vLLM serves it

Explain how a decoder-only language model is built, from tokens through the stack of attention and feed-forward layers to predicting the next token. Then explain how an inference engine like vLLM serves such a model efficiently: what the KV cache holds, how vLLM manages its memory, and how it batches many requests together.