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Mesa Distance Learning Program (MDLP) is a distance learning program for grades 5–12 sponsored by Mesa Public Schools in Mesa, Arizona, US that offers students worldwide a US-based education leading to a high school diploma. [4]
Distributed learning is an instructional model that allows instructor, students, and content to be located in different, noncentralized locations so that instruction and learning can occur independent of time and place.
Former PBS headquarters in Crystal City, Virginia. PBS was established on November 3, 1969, by Hartford N. Gunn Jr. (president of WGBH), John Macy (president of CPB), James Day (last president of National Educational Television), and Kenneth A. Christiansen (chairman of the department of broadcasting at the University of Florida).
One 31, fully known as Channel One 31 (Thai: สถานีโทรทัศน์ช่องวัน 31) and branded as One31 or One HD 31, is a Thai digital terrestrial television channel owned by GMM Grammy under The One Enterprise.
National Broadcasting Services of Thailand (Thai: สถานีวิทยุโทรทัศน์แห่งประเทศไทย, romanized: Sathani Witthayu Thorathat Haeng Prathet Thai) (NBT) is the public broadcasting arm of the Government Public Relations Department (PRD), a division of the Thai Government.
The distributional learning theory or learning of probability distribution is a framework in computational learning theory.It has been proposed from Michael Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert Schapire and Linda Sellie in 1994 and it was inspired from the PAC-framework introduced by Leslie Valiant.
Channel 3 or Channel 3 HD (Thai: ช่อง 3 เอชดี, formerly known as สถานีโทรทัศน์ไทยทีวีสีช่อง 3, lit. 'Thai Television Color Channel 3') [3] is a Thailand and Bangkok's first commercial free-to-air television network that was launched on 26 March 1970 as Thailand and Bangkok's first commercial television station.
A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.