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Meta's new AI Model Tested! Is it smarter than ChatGPT? (Llama 3.1 vs. ChatGPT 4o)
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This video compares the performance of different AI language models, primarily focusing on Meta's recently released Llama 3.1 and comparing it to ChatGPT (GPT-4). Cindy uses Claude AI to generate questions and then tests these questions on both Llama 3.1 (via the Meta AI platform) and ChatGPT.
Cindy observes that both models perform well on simple and moderately difficult math questions. She tests the models on a short story writing task. Both perform adequately, but Cindy and Claude prefer ChatGPT's output for its more developed fantasy elements. Cindy compares both models' instructions on changing a flat tire, noting that ChatGPT offers more detailed steps and additional tips. She has the models summarize Romeo and Juliet, finding that ChatGPT provides a more comprehensive summary.
At the end, Cindy briefly discusses the MMLU (Massive Multitask Language Understanding) benchmark, showing examples of the types of questions in this dataset.
Cindy concludes that Llama 3.1 performs well on math problems. For creative and technical writing, she prefers ChatGPT's style. She emphasizes that this comparison is not comprehensive and should be viewed as a casual exploration rather than a rigorous experiment. She looks forward to the future potential of these AI models.
Cindy observes that both models perform well on simple and moderately difficult math questions. She tests the models on a short story writing task. Both perform adequately, but Cindy and Claude prefer ChatGPT's output for its more developed fantasy elements. Cindy compares both models' instructions on changing a flat tire, noting that ChatGPT offers more detailed steps and additional tips. She has the models summarize Romeo and Juliet, finding that ChatGPT provides a more comprehensive summary.
At the end, Cindy briefly discusses the MMLU (Massive Multitask Language Understanding) benchmark, showing examples of the types of questions in this dataset.
Cindy concludes that Llama 3.1 performs well on math problems. For creative and technical writing, she prefers ChatGPT's style. She emphasizes that this comparison is not comprehensive and should be viewed as a casual exploration rather than a rigorous experiment. She looks forward to the future potential of these AI models.
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