AMD's KV Cache Reuse Boosts Local LLM Conversations

Local large language models (LLMs) are revolutionizing AI PC applications, including private document assistants, coding helpers, and conversational agents. These models process text in two stages: prefill and decode. However, as conversations grow longer, the prefill stage becomes a significant contributor to overall response latency.