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  * **Organization:** AutoBench
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  * **Point of Contact:** [Peter Kruger](https://huggingface.co/PeterKruger), CEO eZecute
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  * **Website:** [www.autobench.org]
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- * **Funding:** Self-funded, with the contribution of the following inference API providers: xAI (we welcome other providers to support us)
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  ## Organization Description
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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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  ## Citation
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  If you use AutoBench 1.0 in your research, please cite:
 
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  * **Organization:** AutoBench
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  * **Point of Contact:** [Peter Kruger](https://huggingface.co/PeterKruger), CEO eZecute
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  * **Website:** [www.autobench.org]
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+ * **Funding:** Self-funded, with the support of the following inference API providers: **xAI** (we welcome other providers to support us)
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  ## Organization Description
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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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+ ## Financial 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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+ The following API providers are providing us with free inference credits:
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+ * **xAI**
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  ## Citation
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  If you use AutoBench 1.0 in your research, please cite: