FEW-SHOT LANGUAGE MODEL TRAINING AND IMPLEMENTATION
A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are...
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| creator | Hu, Hui Peng |
| description | A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a "learning-to-learn" fashion such that the models know how to evaluate few-shots that belong to the same language. The term "language" in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). "Language" refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language. |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | FEW-SHOT LANGUAGE MODEL TRAINING AND IMPLEMENTATION |
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