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Chapter Glossary
         TABLE 2-19: GLOSSARY OF ESSENTIAL TERMS


                                      Common
                  Term                                               Plain-language explanation
                                     abbreviation

                                                         Any input that directs the system toward a task or a
                 Prompt                   -            response; it may include text, an image, a file, examples,
                                                                          and constraints.
                                                      Designing, testing, and improving prompts against criteria
           Prompt engineering             -
                                                                         and realistic cases.

                                                          The information available to the system during the
                 Context                  -
                                                             interaction that helps it understand the task.
                                                        The limit of input and output that a model can refer to
             Context window               -
                                                                 within one request or conversation.
             Source material              -             The text, data, or image that the output must rely on.

                                                      Checkable properties that determine whether an output is
              Success criteria            -
                                                                             acceptable.

                                                         Headings or markers that separate instructions from
                Delimiters                -
                                                           material and one part of a prompt from another.

                                                          Instructions placed above the user message by the
           System instructions            -              application or the developer, which may constrain or
                                                                         shape the answer.

                                                          Performing the task on instructions alone, with no
           Zero-shot prompting            -
                                                                              example.

                                                        Adding a single example that shows the format or the
           One-shot prompting             -
                                                                              pattern.

                                                         Adding several examples to help the model infer the
           Few-shot prompting             -
                                                                         pattern of the task.

                                                      New instructions that address a defect or develop the task
            Follow-up prompt              -
                                                                        after the first output.

                                                         A cycle of production, evaluation, adjustment of one
           Iterative refinement           -
                                                                   influential factor, and retesting.

                                                      Defining a perspective or function that directs attention; it
             Role prompting               -
                                                                grants no real expertise or authority.

                                                      A description of evaluation criteria and performance levels
                  Rubric                  -
                                                                used to compare outputs consistently.








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