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Cake day: June 2nd, 2023

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  • Hotzilla@sopuli.xyztoFuck AI@lemmy.worldOn Using AI For Commercial Uses
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    11 days ago

    These new LLM models and vision models have their place in software stack. They do enable some solutions that have been nearly impossible in the past (mandatory xkcd ref: https://xkcd.com/1425/ , this is now trivial task)

    ML works very well on large data sets and numbers, but it is poor at handling text data. LLM’s again are shit with large data and numbers, but they are good at handling small text data. It is a tool, and properly used very powerful one. And it is not a magic bullet.

    One easy example from real world requirements: you have five paragraph of human written text, and you need to summarize it to header automatically. Five years ago if some project owner would have request this feature, I would have said string.substring(100), live with it. Now it is pretty much one line of code.




  • Electricity network requires that production and consumption are always equal. If there is too little production, the frequency (Hz) goes down and if too little consumption, the frequency goes up. If frequency goes too far every electric device pretty much breaks.

    This is why there is automation in the network that tries to balance the network (reserve production and consumption). BUT if shit hits the fan, and frequency goes too bad, it automatically takes load off or production off the network. This often causes domino effect, you take load off, which causes over production, and again you take production off and loop is ready. In minutes the whole network falls like domino blocks, one by one.

    There was lots of luck (and probably skill and preparation) that they were able to stop it. Main land Europe from Portugal to Turkey is one big network.

    Cold starting whole Europe would have taken week. You need to start small islands, and connect them together slowly. Balancing load and production.

    Source: I work in electricity production and distribution.