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