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Joined 3 years ago
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Cake day: August 10th, 2023

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  • I’ve found LLMs are impressive at first but as you start to dig through the code it’s quite shit. Give it a day or two and come back and try and really understand how it’s laid things out and your start to see the “six finger” of the LLM code slop world.

    It’s great for

    • straightforward tasks
    • tedious work that requires little critical thinking
    • small well defined functions

    Funny enough one of the best use cases I have found has been for information retrievel then generation.

    Alot of these models store vasts amount of info in their weights. You can get get pretty good results asking it basic questions about new tools.

    My rule of thumb is that if it’s something someone would give you to answer a stake overflow post it’s something a LLM can do. These models function by re-composing their training data and inputs but they can only do it so well. The more specific you get the more it starts to fall apart.