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Apple Quietly Unveils New Multimodal AI With A Staggering 30B Parameters: Could It Power Text And Vision Features On IPhones?

Apple Quietly Unveils New Multimodal AI With A Staggering 30B Parameters: Could It Power Text And Vision Features On IPhones?

苹果悄悄推出具有惊人30B参数的新型多模态人工智能:它能否为iPhone上的文本和视觉功能提供动力?
Benzinga ·  03/18 03:49

Apple Inc. (NASDAQ:AAPL) researchers have made significant progress in the field of artificial intelligence (AI). The iPhone maker published its latest research detailing new techniques for training large language models (LLMs) using text and images, potentially leading to more powerful and flexible AI systems.

苹果公司(纳斯达克股票代码:AAPL)的研究人员在人工智能(AI)领域取得了重大进展。这家iPhone制造商发布了其最新研究,详细介绍了使用文本和图像训练大型语言模型(LLM)的新技术,这有可能带来更强大、更灵活的人工智能系统。

What Happened: The new methods, outlined in a research paper titled "MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training," were quietly released on arxiv.org. The paper details how combining various training data and model architectures can result in top-notch performance across various AI benchmarks.

发生了什么:一篇题为 “MM1:来自多模态LLM预训练的方法、分析和见解” 的研究论文中概述了这些新方法,已在arxiv.org上悄悄发布。本文详细介绍了如何将各种训练数据和模型架构结合起来,在各种人工智能基准测试中实现一流的性能。

The researchers found that a diverse dataset incorporating visual and linguistic information was crucial for the MM1 models to excel at tasks such as image captioning, visual question answering, and natural language inference.

研究人员发现,整合视觉和语言信息的多样化数据集对于MM1模型在图像字幕、视觉问答和自然语言推断等任务中表现出色至关重要。

Interestingly, researchers found that the image's resolution also played an important role in the quality of the AI model's output. The higher the resolution, the better the quality of the data and, therefore, the output generated.

有趣的是,研究人员发现,图像的分辨率在人工智能模型的输出质量中也起着重要作用。分辨率越高,数据的质量越好,因此生成的输出也就越好。

Apple has been intensifying its investments in AI to keep up with competitors like Alphabet Inc.'s (NASDAQ:GOOG) (NASDAQ:GOOGL) Google, Microsoft Corp. (NASDAQ:MSFT), and Amazon.com Inc. (NASDAQ:AMZN), which have been integrating generative AI capabilities into their products.

苹果一直在加大对人工智能的投资,以跟上Alphabet Inc等竞争对手的步伐。”s(纳斯达克股票代码:GOOG)(纳斯达克股票代码:GOOGL)谷歌、微软公司(纳斯达克股票代码:MSFT)和亚马逊公司(纳斯达克股票代码:AMZN),它们一直在将生成人工智能功能集成到其产品中。

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订阅 Benzinga 技术趋势时事通讯,将所有最新的技术发展发送到您的收件箱。

The company is reportedly on track to spend $1 billion annually on AI development.

据报道,该公司有望每年在人工智能开发上花费10亿美元。

However, Apple is reportedly in talks with Google to license its Gemini model to power generative AI features on iPhones.

但是,据报道,苹果正在与谷歌进行谈判,以许可其双子座机型为iPhone上的生成人工智能功能提供支持。

Why It Matters: Apple's recent AI advancements align with its ongoing efforts to enhance its AI capabilities.

为何重要:苹果最近的人工智能进步与其为增强人工智能能力所做的持续努力相吻合。

The company has been quietly acquiring startups to bolster its AI division.

该公司一直在悄悄收购初创公司以加强其人工智能部门。

In February, CEO Tim Cook's first mention of AI during the December quarter earnings call had Wedbush's Dan Ives excited about the iPhone maker's prospects going forward. Ives believes Apple is entering a "new growth cycle," with AI and iPhone being its primary growth drivers.

2月,首席执行官蒂姆·库克在12月的季度财报电话会议上首次提及人工智能,这让Wedbush的丹·艾夫斯对这家iPhone制造商的未来前景感到兴奋。艾夫斯认为,苹果正在进入 “新的增长周期”,人工智能和iPhone是其主要增长动力。

Apple's plan to bolster the integration of generative AI technology into iPhones is part of the company's larger aim to improve its devices' capabilities and spur innovation in the tech sector.

苹果计划加强生成人工智能技术与iPhone的集成,这是该公司提高设备功能和刺激科技领域创新的更大目标的一部分。

The company's recent hardware innovations, such as the M3 Max processor for MacBooks and the S9 chip in Apple Watch, indicate its AI ambitions.

该公司最近的硬件创新,例如适用于MacBook的M3 Max处理器和Apple Watch中的S9芯片,表明了其人工智能雄心。

The iPhone 15 Pro's A17 Pro chip features a neural engine, accelerating AI processes. Apple's breakthrough in running LLMs on-device using Flash memory facilitates faster, offline data processing.

iPhone 15 Pro 的 A17 Pro 芯片采用神经引擎,可加速 AI 流程。Apple 在使用闪存的设备上运行 LLM 方面取得了突破,有助于更快的离线数据处理。

Price Action: Apple stock closed at $172.63 on Friday, up 0.01%, according to Benzinga Pro.

价格走势:根据Benzinga Pro的数据,苹果股价周五收于172.63美元,上涨0.01%。

Check out more of Benzinga's Consumer Tech coverage by following this link.

通过以下方式查看 Benzinga 对消费科技的更多报道 点击这个链接

Disclaimer: This content was partially produced with the help of Benzinga Neuro and was reviewed and published by Benzinga editors.

免责声明: 此内容部分是在 Benzinga Neuro 的帮助下制作的,并由 Benzinga 编辑审查和出版。

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