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CoT examples can be generated by LLM themselves. In "auto-CoT", [46] a library of questions are converted to vectors by a model such as BERT. The question vectors are clustered. Questions nearest to the centroids of each cluster are selected. An LLM does zero-shot CoT on each question. The resulting CoT examples are added to the dataset.
The term zero-shot learning itself first appeared in the literature in a 2009 paper from Palatucci, Hinton, Pomerleau, and Mitchell at NIPS’09. [5] This terminology was repeated later in another computer vision paper [6] and the term zero-shot learning caught on, as a take-off on one-shot learning that was introduced in computer vision years ...
A template is a device used by sanctioning body officials to check the body shape and height of racing vehicles. [1] The template is used to check that teams have manufactured the sheet metal used in the vehicle bodies to within tight tolerances (up to thousandths of an inch).
The goal of response prompting is to transfer stimulus control from the prompt to the desired discriminative stimulus. [1] Several response prompting procedures are commonly used in special education research: (a) system of least prompts, (b) most to least prompting, (c) progressive and constant time delay, and (d) simultaneous prompting.
Upload file; Special pages; Permanent link; ... Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI;
Front view of Travis Kvapil's Ford Fusion CoT at Darlington Raceway. On January 11, 2006, NASCAR revealed the Car of Tomorrow, also referred to as the "Car of the Future" during its development, [12] after a five-year design program sparked mainly by the death of Dale Earnhardt Sr. in a final-lap crash during the 2001 Daytona 500.
Prompt injection can be viewed as a code injection attack using adversarial prompt engineering. In 2022, the NCC Group characterized prompt injection as a new class of vulnerability of AI/ML systems. [10] The concept of prompt injection was first discovered by Jonathan Cefalu from Preamble in May 2022 in a letter to OpenAI who called it command ...
Mukhopadhyay is the author of Rapid Prompting: an Instructional Guide, Understanding Autism through Rapid Prompting (2008) and Curriculum Guide for Autism Using Rapid Prompting Method: with Lesson Plan Suggestions (2011). [1] After some initial collaboration with Mukhopadhyay, Iversen developed the Informative Pointing Method. [1]