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BookCorpus was chosen as a training dataset partly because the long passages of continuous text helped the model learn to handle long-range information. [6] It contained over 7,000 unpublished fiction books from various genres.
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.
Science fiction (sometimes shortened to sci-fi or abbreviated SF) is a genre of speculative fiction which typically deals with imaginative and futuristic concepts such as advanced science and technology, space exploration, time travel, parallel universes, and extraterrestrial life.
New series take viewers into the future, into space and into the heart of very human matters.
Artificial intelligence is a recurrent theme in science fiction, whether utopian, emphasising the potential benefits, or dystopian, emphasising the dangers.. The notion of machines with human-like intelligence dates back at least to Samuel Butler's 1872 novel Erewhon.
BERT is meant as a general pretrained model for various applications in natural language processing. That is, after pre-training, BERT can be fine-tuned with fewer resources on smaller datasets to optimize its performance on specific tasks such as natural language inference and text classification , and sequence-to-sequence-based language ...
"A science fiction story is a story built around human beings, with a human problem, and a human solution, which would not have happened at all without its scientific content." [13] Basil Davenport. 1955. "Science fiction is fiction based upon some imagined development of science, or upon the extrapolation of a tendency in society." [14] Edmund ...
The vocabulary includes words used in science fiction books, TV and film. A second category rises from discussion and criticism of science fiction, and a third category comes from the subculture of fandom. It describes itself as "the first historical dictionary devoted to science fiction", tracing how science fiction terms have developed over time.