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    Daily Digest
    July 24th, 2024
    Meta vs OpenAI
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    Hiya. Sarah here. Aaron’s out today but before he left he wrote about the big new launch from Meta, Lllama 3.1, and why it’s a big deal. But first, I’ve got a few more headlines for you:

    📱 Apple is working on a foldable phone that could be released by 2026.

    🌦️ Google Researchers built a new weather prediction model using AI.

    👾 Elon Musk says Grok 3.0 is coming in December and will be “the most powerful AI in the world.”

    PRODUCT HIGHLIGHT
    Meta’s biggest AI model yet

    Earlier this year, Meta hinted at a significant development in AI: an open-source model that could rival the best from companies like OpenAI. Today, Meta officially launched Llama 3.1, claiming it surpasses other leading models such as GPT-4o and Anthropic’s Claude 3.5 Sonnet in several benchmarks.

    Llama 3.1, the largest open-source AI model to date, boasts 405 billion parameters and has shown superior performance compared to its competitors. The Llama-based Meta AI assistant is also expanding to more countries and languages and now includes a feature for generating images based on specific likenesses. CEO Mark Zuckerberg predicts Meta AI will become the most widely used assistant by the end of the year, overtaking ChatGPT.

    Meta has been tight-lipped about the data used to train Llama 3.1. The company disclosed that it used synthetic data—generated by a model rather than humans—to enhance the 405-billion parameter version of Llama 3.1 from its smaller 70 billion and 8 billion versions. Ahmad Al-Dahle, Meta’s VP of generative AI, believes Llama 3.1 will be popular with developers as “a teacher for smaller models that are then deployed” in a “more cost-effective way.”

    Llama 3.1 is significantly more advanced than its predecessors, having been trained using over 16,000 of Nvidia’s H100 GPUs. Despite the high development costs, Meta is releasing Llama 3.1 with an open-source license, encouraging contributions and modifications from developers. Zuckerberg argues that open-source AI models will outpace proprietary ones, similar to how Linux became the dominant open-source operating system.

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