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README.md
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AutoBench is committed to the responsible development and use of LLMs. We encourage users of the benchmark to consider the potential ethical implications of their work and to use the benchmark results responsibly. The limitations and biases of AutoBench 1.0 should be carefully considered when interpreting the results.
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Running a compute intensive benchmark like AutoBench can be expensive. We welcome all inference API providers to support us with free inference credits.
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AutoBench is committed to the responsible development and use of LLMs. We encourage users of the benchmark to consider the potential ethical implications of their work and to use the benchmark results responsibly. The limitations and biases of AutoBench 1.0 should be carefully considered when interpreting the results.
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## Inference cost Support
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Running a compute intensive benchmark like AutoBench can be expensive. We welcome all inference API providers to support us with free inference credits.
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