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The case against prioritizing inference speed over AI accelerator fundamentals
A post calls accelerator companies’ focus on inference and tokens per second at the expense of fundamentals a serious mistake.
TLDR
A post argues that accelerator companies are making a serious mistake by focusing on inference and tokens per second at the expense of fundamentals. Its reasoning: LLMs are only a small part of what will be built with AI in the future.
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