Misconception

Spot the conceptual error: 'We're using PQ instead of HNSW for our vector index because PQ is faster.'

Spot the error in this candidate's description of IVF's two main parameters.

Diagnose the reasoning error in 'a bigger tokenizer vocabulary always cuts our token bill'

Find the wrong move in 'decode is slow, so let's switch to a smaller-FLOP model'

A teammate randomized system prompts per user and expects the prompt cache to still help, what's wrong?

Misconception: 'higher LoRA rank always wins on benchmarks'

Misconception: 'LoRA is just a quantization technique'

Spot the errors in this claim about speculative decoding

Spot the errors in this explanation of input vs output pricing

Spot the errors in this 'optimize decode by reducing FLOPs' proposal

Why is 'reduce FLOPs to speed up decode' the most common beginner misconception in LLM serving?

Spot the errors in this description of continuous batching

Spot the errors in this 'API is slow because of network and tokenizer' explanation

Spot the errors in this 'batching is universal' claim

Spot the error in this claim about attention and position.