Open LLM Leaderboard: DROP deep dive
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Nathan Habib
SaylorTwift
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How do I test an LLM for my unique needs?
If you work in finance, law, or medicine, generic benchmarks are not enough.
This blog post uses Argilla, Distilllabel and 🌤️Lighteval to generate evaluation dataset and evaluate models.
https://github.com/argilla-io/argilla-cookbook/blob/main/domain-eval/README.md
If you work in finance, law, or medicine, generic benchmarks are not enough.
This blog post uses Argilla, Distilllabel and 🌤️Lighteval to generate evaluation dataset and evaluate models.
https://github.com/argilla-io/argilla-cookbook/blob/main/domain-eval/README.md
Papers
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models
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datasets
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SaylorTwift/TinyLlama__TinyLlama-1.1B-Chat-v0.6-details
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SaylorTwift/results-test
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SaylorTwift/gpt2
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SaylorTwift/bbh
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SaylorTwift/drop
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SaylorTwift/details_mistralai__Mistral-7B-Instruct-v0.2_private
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SaylorTwift/the_pile_books3_minus_gutenberg
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SaylorTwift/Gutenberg
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