OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking (2024.naacl-long)
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| Challenge: | Large language models (LLMs) are computationally expensive and often require computational resources. |
| Approach: | They propose a routing framework that seamlessly integrates a SLM and an LLM, or-lm, or a LLM into a single framework. |
| Outcome: | The proposed routing framework reduces the computational costs by over 50% in dialogue state tracking tasks. |
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