The prefill phase is the initial stage in large language model inference where a user’s input prompt is processed in parallel to generate a key-value cache. This accelerates subsequent token generation, reducing latency. Developers and AI engineers benefit most, as it optimizes memory usage and speeds up real-time applications like chatbots or code assistants.
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