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For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning. [24] In-context learning is an emergent ability [25] of large language models.
An open-ended question is a question that cannot be answered with a "yes" or "no" response, or with a static response. Open-ended questions are phrased as a statement which requires a longer answer. They can be compared to closed-ended questions which demand a “yes”/“no” or short answer. [1]
Because teachers are required to use multiple types of prompts (e.g., verbal and physical prompts), the SLP prompting procedure may be complicated for use in typical settings, [6] but may be similar to non-systematic teaching [7] procedures typically used by teachers that involve giving learners an opportunity to exhibit a behavior ...
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning -based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples.
Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)
A suggestive question is one that implies that a certain answer should be given in response, [1] [2] or falsely presents a presupposition in the question as accepted fact. [3] [4] Such a question distorts the memory thereby tricking the person into answering in a specific way that might or might not be true or consistent with their actual feelings, and can be deliberate or unintentional.
Beyond eliciting known information (on the asker's part) and recognizing the content of questions (on the askee's part), answering display questions also involves active consideration and interpretation of the way the questions are organised as each display question is designed with a specific answer in mind. [21] Questions that require lower ...
Neutral questions: The goal of this strategy is to use questions that are rated as neutral by a wide range of participants so that socially desirable responding does not apply. [2] Randomized response technique: This technique allows participants to answer a question that is randomly selected from a set of questions. The researcher in this ...