TTFT

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InferenceAI

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• context windowmax tokens the model sees at once
• greedyalways take the top token
• groundingRAG/tools to tie answers to real sources
• hallucinationconfident, fluent, but false output
• inferencegenerating text from the trained model
• KV cachestored Keys/Values of past tokens (speeds generation)
• prefill vs decodeprocess the prompt vs generate token-by-token
• samplingpicking the next token from the distribution
• statelessno memory between calls (history is re-sent)
• temperaturerandomness dial (0 = deterministic)
• the KV cache grows with contextthe memory cost of long context
• throughputtokens/sec
• top-k / top-p (nucleus)sample only from the top tokens / the top cumulative mass