Parallel Scaling Law for Language Models
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Re: Parallel Scaling Law for Language Models
#2Qwen team shows how parallel streams of inference-time thinking tokens could be far more efficient than a serial stream.
Compared to scaling parameters alone, the same performance increase using their technique may be achieved with 22x less increase in memory and 6x less latency increase.