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Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5]
Public water systems (PWS) must conduct source water monitoring for cryptosporidium; Filtration systems for PWS with the highest levels of cryptosporidium; All unfiltered systems must inactivate cryptosporidium using disinfection technologies such as ozone, ultraviolet light, or chlorine dioxide. [1]
In addition, CIP systems can be built into the borehole headworks to permit the injection of cleaning solutions (such as sodium hypochlorite or other sanitizers) and the subsequent recirculation of the mix of these chemicals and the groundwater. This process cleans the borehole interior and equipment without any invasive maintenance being required.
GPT-2, a text generating model developed by OpenAI Topics referred to by the same term This disambiguation page lists articles associated with the same title formed as a letter–number combination.
In economics, it is theorized that initial adoption of a new GPT within an economy may, before improving productivity, actually decrease it, [4] due to: time required for development of new infrastructure; learning costs; and, obsolescence of old technologies and skills. This can lead to a "productivity J-curve" as unmeasured intangible assets ...
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Sewage treatment (or domestic wastewater treatment, municipal wastewater treatment) is a type of wastewater treatment which aims to remove contaminants from sewage to produce an effluent that is suitable to discharge to the surrounding environment or an intended reuse application, thereby preventing water pollution from raw sewage discharges. [5]
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