Streaming an LLM's response token by token, rather than waiting for the full output, is the biggest single latency improvement, since users see the first words within a second or two instead of waiting for the entire response to generate. Beyond that, keeping prompts and context as short as the task allows, and choosing a faster model for latency-sensitive interactions, both reduce the time to the first and last token.
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