tree: Fix xmlRemoveEntity removing from wrong hash table
In voice systems, receiving the first LLM token is the moment the entire pipeline can begin moving. The TTFT accounts for more than half of the total latency, so choosing a latency-optimised inference setup like Groq made the biggest difference. Model size also seems to matter: larger models may be required for some complex use cases, but they also impose a latency cost that's very noticeable in conversational settings. The right model depends on the job, but TTFT is the metric that actually matters.
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Users will notice the blazing speed of M4 in everything they do, from compositing photos in Pixelmator Pro to editing video in apps like Final Cut Pro.，更多细节参见Safew下载
on the tool may lead to a lack of understanding of the code.