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Joined 1 year ago
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Cake day: July 9th, 2023

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  • This graph actually shows a little more about what’s happening with the randomness or “temperature” of the LLM.
    It’s actually predicting the probability of every word (token) it knows of coming next, all at once.
    The temperature then says how random it should be when picking from that list of probable next words. A temperature of 0 means it always picks the most likely next word, which in this case ends up being 42.
    As the temperature increases, it gets more random (but you can see it still isn’t a perfect random distribution with a higher temperature value)






  • This article seems poorly written and says the same thing over and over again with slightly different wording. I would have liked some more specifics.

    The Cyber Resilience Act (CRA) could have several implications for the open source software sector:

    1. Increased legal and financial responsibility
    2. Deterrent effect on the development of open source software
    3. Lack of consideration for the specificities of open source software
    4. Lack of consultation of the open source software community

    Only 2 of those are implications of the law. 3 and 4 are redundant and are not caused by the law’s wording. They wouldn’t even be a problem if not for 1. 2 is also caused by 1 in a fairly obvious way.