How to Do Things with Deep Learning Code.
The premise of this article is that a basic understanding of the composition and functioning of large language models is critically urgent. To that end, we extract a representational map of OpenAI's GPT-2 with what we articulate as two classes of deep learning code, that which pertains to the model...
| Publicado en: | DHQ: Digital Humanities Quarterly Vol. 17; no. 3; pp. 1 - 20 |
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| Autores principales: | , |
| Formato: | Artículo |
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Digital Humanities Quarterly
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |