PreparedLLM: effective pre-pretraining framework for domain-specific large language models
The direct application of large language models (LLMs) to specific domain tasks frequently encounters challenges due to the scarcity of domain data, variations in domain semantics, and the complexity of domain knowledge. Further pretraining of advanced foundational models on extensive domain-specifi...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Taylor & Francis Group
2024-10-01
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| Col·lecció: | Big Earth Data |
| Matèries: | |
| Accés en línia: | https://www.tandfonline.com/doi/10.1080/20964471.2024.2396159 |
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