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BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]
The bibliographic database (without full-text dissertations) is known as Dissertation Abstracts or Dissertation Abstracts International. PQDT annually publishes more than 90% of all dissertations submitted from accredited institutions of higher learning in North America as well as from colleges and universities in Europe and Asia.
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.
An open thesis, also known as an open dissertation, is a thesis that is freely available for members of the public to access upon publication, and often also during the planning and writing process. The decision to write an open thesis is made by the author, who will usually explain their rationale for creating an open thesis as part of the ...
While The Chicago Manual of Style focuses on providing guidelines for publishing, Turabian's A Manual for Writers of Research Papers, Theses, and Dissertations is intended for the creation and submission of academic works; where the two works differ "in small ways," Turabian's manual is designed to "better suit the requirements of academic ...
A thesis as a collection of articles [1] or series of papers, [2] also known as thesis by published works, [1] or article thesis, [3] is a doctoral dissertation that, as opposed to a coherent monograph, is a collection of research papers with an introductory section consisting of summary chapters. Other less used terms are "sandwich thesis" and ...
High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...
Logic learning machine (LLM) is a machine learning method based on the generation of intelligible rules. LLM is an efficient implementation of the Switching Neural Network (SNN) paradigm, [ 1 ] developed by Marco Muselli, Senior Researcher at the Italian National Research Council CNR-IEIIT in Genoa .
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