How Transformers Think: The Information Flow That Makes Language Models Work - KDnuggets
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Let's uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text "word by word".
  • A_A@lemmy.worldEnglish
    1·
    11 hours ago

    [feed-forward sublayers] … these layers are the mechanism used to gradually learn a general, increasingly abstract understanding of the entire text being processed.

    in my opinion, this is the part that people who hates LLMs (large language models) chooses to ignore.