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  • The goal of any language model is to find patterns in human communication and utilize them to deliver a specific output.
  • Proprietary language models are built on core models, which can be categorized into gram-based and neural language models.
  • Machine sentience is a distant dream because humans decide how a language model would work and define what datasets the model must train on.