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this post was submitted on 23 May 2024
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Most LLMs are transformers, in fact GPT stands for Generative Pre-trained Transformer. They are a different to Bayesian networks as transformers are not state machines, but rather assign importance according to learned attention based on their training. The main upside of this approach is scalability because it can be easily parallelized due to not relying on states.