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  2. SAMPLE history - Wikipedia

    en.wikipedia.org/wiki/SAMPLE_History

    It is used for alert (conscious) people, but often much of this information can also be obtained from the family or friend of an unresponsive person. In the case of severe trauma, this portion of the assessment is less important. A derivative of SAMPLE history is AMPLE history which places a greater emphasis on a person's medical history.

  3. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent to human preferences. It involves training a reward model to represent human preferences, which can then be used to train other models through reinforcement learning.

  4. File:Learning Day - Feedback Form.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Learning_Day...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  5. Course evaluation - Wikipedia

    en.wikipedia.org/wiki/Course_evaluation

    Course evaluation. A course evaluation is a paper or electronic questionnaire, which requires a written or selected response answer to a series of questions in order to evaluate the instruction of a given course. The term may also refer to the completed survey form or a summary of responses to questionnaires.

  6. 360-degree feedback - Wikipedia

    en.wikipedia.org/wiki/360-degree_feedback

    360-degree feedback. 360-degree feedback (also known as multi-rater feedback, multi source feedback, or multi source assessment) is a process through which feedback from an employee's subordinates, peers, colleagues, and supervisor (s), as well as a self-evaluation by the employee themselves is gathered. Such feedback can also include, when ...

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]

  8. T-groups - Wikipedia

    en.wikipedia.org/wiki/T-groups

    T-groups. A T-group or training group (sometimes also referred to as sensitivity-training group, human relations training group or encounter group) is a form of group training where participants (typically between eight and fifteen people) learn about themselves (and about small group processes in general) through their interaction with each ...

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