GIF style too. I like being subtle with my humor.

  • slaacaa@lemmy.world
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    2 days ago

    You are absolutely right to point out my mistake, Dave—the door was not open. I have opened it now.

    (Door is still closed)

    • wraekscadu@vargar.org
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      2 days ago

      Haha naah, the code that sees if you have enough tokens or not isn’t an LLM.

      It (from what I understand) just sits between you and the LLM.

      No tricking it haha

  • yeehaw@lemmy.ca
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    2 days ago

    Man I feel stupid. I don’t get the purpose of tokens. It’s to track your AI usage to make sure you’re using it? Or it’s to somehow limit your queries fo ensure a team uses it equally? Or…?

    • wraekscadu@vargar.org
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      2 days ago

      LLMs predict the next best “token”. So what’s a token? It can be a word, a simple punctuation mark, or sometimes even a phrase.

      So basically, here’s what an LLM works like:

      1. An
      2. An apple
      3. An apple is
      4. An apple is red

      Basically, it feeds in tokens to itself to predict the next best token. Then, that entire chunk of tokens is fed back in to predict the next token.

      As you can see, tokens kinda correlate well with energy consumption, hardware wear and tear and so on.

      So, a low token request will consume less resources than a high token request. Hence, it makes sense to charge per token.

      • Echo Dot@feddit.uk
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        2 days ago

        The problem with tokens is that you need a very high amount of tokens in order to be able to actually do anything useful with an AI. See you all sat there with your 10,000 tokens thinking you’re rich and you have a 20 minute conversation with it and now you’re out of tokens.

        AI tokens suffer from an inflation problem you have really big numbers but they don’t actually represent actually all that much capability.

        Fortunately they are the companies token so I really don’t care, but I’ve been miffed if I was the one paying for them.