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Zeta Alpha is a premier neural discovery platform that builds advanced AI solutions for large enterprises.
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On October 9, 2024, the platform released 2023's top 100 most cited AI papers.
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The three most cited AI papers are LLaMA: Open and Efficient Foundation Language Models, Llama2: Open Foundation and Fine-tuned Chat Models, and Segment Anything.
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This paper introduces LLaMA, an initial set of foundation models with 7B to 65B parameter sizes. Notably, LLaMA-13B surpasses the 175B GPT-3 on most benchmarks.
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The second-ranked Meta AI paper represents Llama 2, a collection of pre-trained and fine-tuned LLMs with 7B to 70B parameters optimized for dialogue scenarios.
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The third-ranked paper, with 3384 citations, discusses the Segment Anything (SA). It is a zero-shot image segmentation model built on 1B masks and an 11M image dataset.
Image source: Meta
Meta’s papers secure the top 3 spots in the first 100 AI papers. However, Microsoft leads with 13 papers out of 100, while Meta has only eight.
Image source: Canva