felix qui nihil debet

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CuDf is even worse on matrix multiplication despite being accelerated. I still do not understand what is going on (exact same workload takes 15,000ms vs 80ms???):

I updated my Kindle clipping notebook to handle the Kindle Scribe (with its irregular line lengths).

A quick experiment with Intel's OpenVINO notebook example 213 proved that it was trivial to ingest the automatically created kindle clippings as the local source text for OpenVINO's local language model. The LLM is fast but requires carefully worded questions and is not production ready. But with the right LLM, who knows?

https://github.com/frasertajima/kindle_clippings/tree/main

GitHub - frasertajima/kindle_clippings: Jupyter notebooks to make your Kindle clippings txt file more useful.

Jupyter notebooks to make your Kindle clippings txt file more useful. - GitHub - frasertajima/kindle_clippings: Jupyter notebooks to make your Kindle clippings txt file more useful.

GitHub
time to restart the most aggravating short in the market

the cursed TSLA

felix qui nihil debet
#pocket is not doing itself any favours: #twitter and #meta? No #mastodon
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