Time machine GPT
Large language models (LLMs) are often trained on extensive, temporally indiscriminate text corpora, reflecting the lack of datasets with temporal metadata. This approach is not aligned with the evolving nature of language. Conventional methods for creating temporally adapted language models often d...
| Main Authors: | , , , |
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| 格式: | Conference item |
| 語言: | English |
| 出版: |
2024
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