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Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example. Quality vs Bandwidth.
This approach was touted to be better for fine-grained caching because each subresource could be cached individually and the full bundle didn’t need to be redownloaded if one of them changed. For example, you could reduce compression efficiency , because that works better with more data. Large preview ). What Does It All Mean?
One aspect of performance is about how efficiently a transport protocol can use a network’s full (physical) bandwidth (i.e. Some examples of the latter are heavily cached websites, as well as single-page apps that periodically fetch small updates via APIs and other protocols such as DNS-over-QUIC. Congestion Control. Did You Know?
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