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GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [14] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.
In an earlier draft of this review as posted here I had linked to , a link that afterwards turned 404 because one of the authors renamed the file from "recent_wiki_scraper.py" to "run_wiki_scrape.py" two days ago. The published version of the review uses a permalink (search for "scraping") which still works for me.
It doesn’t get too complicated or unnecessarily fancy—a common mistake lousy trainers make to look smart. The set and rep suggestions, typically 3 sets of 8 to 12 reps, are good for muscle ...
Unfortunately, the work hasn't been translated into English by a scholar yet (or out of the original ancient Greek at all, I don't believe), so the only replacement link which we could really provide would to be an old edition of the work in ancient Greek (eg. or ), and I imagine adding such links wouldn't be possible with automated tools.
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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] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
A Willy Wonka inspired 'Chocolate Experience' in Glasgow, Scotland, was 'where dreams go to die,' one actor hired for the event said.
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.