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"Unlocking the Potential of Compute Resources for Post-Processing and Language Models"

Jan 7, 2024 - 7:42amSummary: The cost of computing power is expected to decrease, leading to increased availability. This makes the ability to utilize this computing power for extensive processing or post-processing very important, especially with evolving hardware architectures. If supported, doing massively parallel inference and leveraging large language models for parallel post-processing will likely be both feasible and significant. The trend towards more accessible compute resources will thus play a pivotal role in the advancement of post-processing capabilities and the application of large language models.

Transcript: One interesting thing is that the cost of compute, or rather the amount of compute that will be available is only going to go up. So being able to take advantage of that compute and do lots and lots of processing or post-processing does seem extremely relevant to me, especially as architectures continue to evolve on the hardware side is, assuming we can support something like this and do massively parallel inference, being able to do a lot of parallel post-processing via large language models seems very reasonably done and probably fairly important as well.

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