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2 resources

  • Elizabeth Clark, Tal August, Sofia Serra...
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    Jul 7th, 2021
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    preprint
    Elizabeth Clark, Tal August, Sofia Serra...
    Jul 7th, 2021

    Human evaluations are typically considered the gold standard in natural language generation, but as models' fluency improves, how well can evaluators detect and judge machine-generated text? We run a study assessing non-experts' ability to distinguish between human- and machine-authored text (GPT2 and GPT3) in three domains (stories, news articles, and recipes). We find that, without training, evaluators distinguished between GPT3- and human-authored text at random chance level. We explore...

  • Abhimanyu Dubey, Abhinav Jauhri, Abhinav...
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    Aug 15th, 2024
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    preprint
    Abhimanyu Dubey, Abhinav Jauhri, Abhinav...
    Aug 15th, 2024

    Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models that natively support multilinguality, coding, reasoning, and tool usage. Our largest model is a dense Transformer with 405B parameters and a context window of up to 128K tokens. This paper presents an extensive empirical evaluation of Llama 3. We find that Llama 3 delivers comparable quality to leading language...

Last update from database: 26/12/2024, 23:15 (UTC)
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