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  license: cc-by-sa-4.0
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- <div style="text-align: right;font-size:.7em;margin-left:50%"><em>Per un attimo Brahe cercò le parole, le immagini, le analogie; pensò perfino i gesti della mano e delle dita, come un attore che si prepari a rendere fisico un sentimento. Ma appena cominciò a dire "come", a dare solidità a ciò che non aveva, a rendere visibile ciò che non lo era, a collocare, nello spazio ciò che era pura probabilità, e a cercare una qualsiasi cosa tra le forme del mondo cui paragonarlo, Epstein lo interruppe.</em></div>
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  *Brahe* is an analytical LLM for English literature fine-tuned from llama-13B. Given any text, Brahe will generate a list of potentially twenty annotations. Brahe is intended to be used by computational humanities project, similarly to BookNLP.
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  *Brahe* has been trained on 4,000 excerpts of English or English translated literature in the public domain and on a set of synthetic and manual annotations.
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- *Brahe* is the reversed companion of *Epstein*, a generative AI model to create new literary texts by submitting annotated prompts. Both models are named after the protagonists of the philosophical novel of Daniele del Giudice, *Atlante occidentale*. Brahe is a scientist working at the CERN on quantum physics, Epstein is a novelist and they both confront their different views of reality.
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  ## Annotations
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  * Time setting: historical period where the action seems to occur such as the 1960s, the Renaissance, the Victorian period…
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  * Diegetic time: very approximative number of minutes/hours/days that have unfolded between the beginning and the end of the text (5 minutes, 35 minutes, 2 hours, 3 days).
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  * Absolute time: a precise date where the action occurs, such as January 15, 1845, 23rd century…
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- * Meta-text: to specify if the text is not part of the actual novel such as table of content, legal notice, book cover.
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  The annotations are not generated systematically but only whenever the model is confident enough.
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  license: cc-by-sa-4.0
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+ <div style="text-align: right;font-size:.7em;margin-left:50%"><em>Per un attimo Brahe cercò le parole, le immagini, le analogie; pensò perfino i gesti della mano e delle dita, come un attore che si prepari a rendere fisico un sentimento. Ma appena cominciò a dire "come", a dare solidità a ciò che non aveva, a rendere visibile ciò che non lo era, a collocare, nello spazio ciò che era pura probabilità, e a cercare una qualsiasi cosa tra le forme del mondo cui paragonarlo, Epstein lo interruppe.</em><br>Daniele del Giudice, <em>Atlante occidentale</em></div>
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  *Brahe* is an analytical LLM for English literature fine-tuned from llama-13B. Given any text, Brahe will generate a list of potentially twenty annotations. Brahe is intended to be used by computational humanities project, similarly to BookNLP.
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  *Brahe* has been trained on 4,000 excerpts of English or English translated literature in the public domain and on a set of synthetic and manual annotations.
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+ *Brahe* is the reversed companion of *[Epstein](https://huggingface.co/Pclanglais/epstein)*, a generative AI model to create new literary texts by submitting annotated prompts. Both models are named after the protagonists of the philosophical novel of Daniele del Giudice, *Atlante occidentale*. Brahe is a scientist working at the CERN on quantum physics, Epstein is a novelist and they both confront their different views of reality.
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  ## Annotations
 
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  * Time setting: historical period where the action seems to occur such as the 1960s, the Renaissance, the Victorian period…
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  * Diegetic time: very approximative number of minutes/hours/days that have unfolded between the beginning and the end of the text (5 minutes, 35 minutes, 2 hours, 3 days).
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  * Absolute time: a precise date where the action occurs, such as January 15, 1845, 23rd century…
 
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  The annotations are not generated systematically but only whenever the model is confident enough.
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