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README.md
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## CzechBench
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As selecting the most capable model for a specific task and language is crucial for ensuring optimal performance, we concentrated our efforts on developing a Czech-focused LLM evaluation suite.
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CzechBench, available on [GitHub](https://github.com/jirkoada/czechbench_eval_harness/tree/main/lm_eval/tasks/czechbench#readme), is a collection of Czech evaluation tasks selected to assess multiple aspects of LLM capabilities.
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The suite newly leverages the [Language Model Evaluation Harness framework](https://github.com/EleutherAI/lm-evaluation-harness), in order to provide an effective
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The models are evaluated in an end-to-end fashion, using only their final textual outputs. This allows for direct performance comparison across both open-source and proprietary LLM solutions.
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To start evaluating your own Czech-enabled models, you can follow the instructions on [GitHub](https://github.com/jirkoada/czechbench_eval_harness/tree/main/lm_eval/tasks/czechbench#readme).
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## CzechBench
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As selecting the most capable model for a specific task and language is crucial for ensuring optimal performance, we concentrated our efforts on developing a Czech-focused LLM evaluation suite.
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CzechBench, available on [GitHub](https://github.com/jirkoada/czechbench_eval_harness/tree/main/lm_eval/tasks/czechbench#readme), is a collection of Czech evaluation tasks selected to assess multiple aspects of LLM capabilities.
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The suite newly leverages the [Language Model Evaluation Harness framework](https://github.com/EleutherAI/lm-evaluation-harness), in order to provide an effective environment most LLM developers are already familiar with.
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The models are evaluated in an end-to-end fashion, using only their final textual outputs. This allows for direct performance comparison across both open-source and proprietary LLM solutions.
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To start evaluating your own Czech-enabled models, you can follow the instructions on [GitHub](https://github.com/jirkoada/czechbench_eval_harness/tree/main/lm_eval/tasks/czechbench#readme).
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