ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
In recent years, the rapid development of large language models (LLMs) has led to a growing consensus in the industry regarding the integration of long-term and short-term memory. However, the widespread application of long-term and short-term memory systems faces two significant challenges: increas...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-03-01
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| Series: | Information |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2078-2489/16/4/251 |
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