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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.
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.
A Manual for Writers of Dissertations: First 1937 (unpublished) Tenth [8] 1949 (reprint) Eleventh A Manual for Writers of Term Papers, Theses, and Dissertations: Second 1955 Eleventh Third 1967 Eleventh Fourth 1973 Twelfth Fifth 1987 Bonnie Birtwistle Honigsblum Thirteenth Sixth 1996 John Grossman and Alice Bennett Fourteenth
A lesson plan is a teacher's detailed description of the course of instruction or "learning trajectory" for a lesson. A daily lesson plan is developed by a teacher to guide class learning. Details will vary depending on the preference of the teacher, subject being covered, and the needs of the students .
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 ...
The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. [1] [2] It is composed of 22 smaller datasets, including 14 new ones. [1]
Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [50] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).
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