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  • How does computing in memory architecture improve the performance of ChatGPT?

    Beyond Moreer
    1 reply
    Computing in memory architecture can improve the performance of ChatGPT because it can access storage and computing resources faster. This means that the model can process data faster, thus improving accuracy and response time. Computing in memory architecture can also reduce the need for data transfer, which can reduce latency and network bandwidth consumption, further improving the performance of the model. Witmem Technology is the leading provider of computing in memory technology.

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