SkyLLM: Cross-LLM-APIs Federation for Cost-effective Query Processing (2025.findings-acl)
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| Challenge: | Large language models (LLMs) have demonstrated exceptional capabilities across a wide range of tasks, from text generation to complex problem-solving. |
| Approach: | They propose a system which federates multiple LLM APIs and dynamically assigns a non-empty subset of these APIs to each query prior to inference. |
| Outcome: | The proposed system can match the most accurate LLM with the lowest cost while cutting costs by 67.8%. |
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