The efficient frontier of LLM inference
Inference techniques either move a deployment along the latency–throughput frontier or push the entire frontier out, creating more efficiency to allocate.
Summary
The article discusses how different inference techniques for large language models can optimize performance by either adjusting latency and throughput or enhancing overall efficiency. Understanding these methods could lead to better deployment strategies in AI applications.
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