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Term             Common abbreviation                Plain-language explanation


                                                                   Executing a series of repeated steps
                Automation                       -
                                                                    under clear rules and permissions.


                                                                    A system that is strong in a specific
                 Narrow AI                       -                  domain or set of tasks, rather than
                                                                 possessing general human intelligence.


                                                                  A research concept referring to broad,
              Artificial general                                      flexible capability across many
                                                AGI
                 intelligence                                      domains, rather than strength in one
                                                                                     task.


                                                                 A model trained on very large amounts
               Large language                                    of  text  that  produces  language  by
                                                LLM
                   model                                         predicting  what  comes  next  in  the

                                                                 context.

                                                                 The small unit of text a language model
                    Token                        -               works with; it may be a whole word or

                                                                 part of a word.

                                                                 A  symbolic  system  that  gathers
               Expert system                     -               knowledge  in  a  specific  domain  and

                                                                 applies rules to reach a result.

                                                                 A system that combines learning from
              Hybrid AI system                   -
                                                                 data with rules set by experts.


                                                                 Training  a  model  on  examples  paired
            Supervised learning                  -
                                                                 with correct answers or labels.

               Unsupervised                                      Finding groups and patterns in data that
                                                 -
                  learning                                       has no given answers.

                                                                 Training in which part of the data itself
              Self-supervised
                                                 -               supplies the answer, such as predicting
                  learning
                                                                 a hidden or next token.

                                                                 Learning  through  trial  and  feedback
               Reinforcement
                                                 -               that  indicates  whether  a  choice
                  learning
                                                                 succeeded.









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