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...
| Published in: | DHQ: Digital Humanities Quarterly Vol. 17; no. 3; pp. 1 - 20 |
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| Main Authors: | , |
| Format: | Article |
| Published: |
Digital Humanities Quarterly
2023
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |