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A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
In Scotland, English is the primary language of instruction but Gaelic medium education is also available. There is little or no use of Lowland Scots as a medium of education. In Wales, most schools teach in English, but an increasing number teach in Welsh. In Cornwall, Cornish is used to some extent in some schools that otherwise teach in English.
Educational technology is the process of integrating technology into education in a positive manner that promotes a more diverse learning environment and a way for students to learn how to use technology as well as their common assignments.
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
In this context, it is essential for education to adopt a humanistic approach, particularly in light of the increasing prominence of digital technologies. [7] An example of the application of innovative technology in education is the implementation of an AI-based tutoring system at an entry-level IT school in Pensacola by the U.S. Navy.
The National Programme on Technology Enhanced Learning (NPTEL) is an Indian e-learning platform for university-level science, technology, engineering, and mathematics (STEM) subjects. NPTEL is the largest e-repository in the world of courses in engineering, basic sciences and selected humanities and management subjects. [ 1 ]
LLM may refer to: Large language model, the use of large neural networks for language modeling; Master of Laws (Latin: Legum Magister), a postgraduate degree;
In the past, technology has tended to increase rather than reduce total employment, but economists acknowledge that "we're in uncharted territory" with AI. [277] A survey of economists showed disagreement about whether the increasing use of robots and AI will cause a substantial increase in long-term unemployment , but they generally agree that ...