Llama 4 Metaverse中的新教育应用新时代

随着荟萃分析的不断发展，一份新报告表明，教育应用可能是这项新兴技术的重要增长领域。

The metaverse is quickly expanding into new applications, and a new report suggests that educational applications could be a significant growth area for this emerging technology.

元媒体正在迅速扩展到新的应用程序，一份新报告表明，教育应用可能是这项新兴技术的重要增长领域。

Metaverse in education is poised to attain a market valuation of $69.4 billion by 2032, commencing from its market capitalization of $3.85 billion in 2024. This exponential surge during the forecast period is fueled by a substantial compound annual growth rate (CAGR) of 37.90%.

到2032年，教育中的元教育计划将获得694亿美元的市场估值，从2024年的市值开始为38.5亿美元。在预测期内，这种指数激增源于37.90％的实质性复合年度增长率（CAGR）。

Several key factors are driving the growth of metaverse in education over the next seven years. At the forefront is the burgeoning demand for innovative learning experiences. As educators and students seek to move beyond the confines of traditional classrooms, the pursuit of fresh and engaging educational formats has become increasingly critical.

在未来七年中，有几个关键因素是推动教育中元元的增长。最前沿的是对创新学习经验的新兴需求。随着教育者和学生寻求超越传统教室的范围，对新鲜而引人入胜的教育格式的追求变得越来越重要。

This trend has been significantly amplified by the COVID-19 pandemic, which has catalyzed a widespread shift towards remote and hybrid learning models. In response to this evolving landscape, institutions are now actively seeking to create a virtual campus environment.

Covid-19大流行极大地扩大了这一趋势，该大流行极大地促进了向远程和混合学习模型的广泛转变。为了回应这种不断发展的景观，机构现在正在积极寻求创造虚拟校园环境。

The goal is to foster novel immersive experiences for teachers, lecturers, and students, complete with interactive lectures, seminars, and tutorials that will revolutionize the way knowledge is imparted and absorbed.

目的是为教师，讲师和学生培养新颖的沉浸式体验，并配有互动讲座，研讨会和教程，这些讲座将彻底改变知识的传授和吸收方式。

Hardware will record an impressive double-digit CAGR, with AR, VR, and MR devices expected to become mainstream. On the flip side, the software will record astronomical growth levels, with extended reality software and gaming engines taking up the lion’s share.

硬件将记录令人印象深刻的双位复合年增长率，而AR，VR和MR设备预计将成为主流。另一方面，该软件将记录天文学的增长水平，扩展的现实软件和游戏发动机占据了狮子的份额。

In terms of adoption of applications, learning and skills development will be the biggest drivers, with educational apps, cultural understanding, and self-regulation contributing their fair share. Apart from schools, corporations will contribute a chunk to the market share of the metaverse in education.

就应用的采用而言，学习和技能发展将是最大的驱动力，具有教育应用程序，文化理解和自我调节，从而贡献了公平的份额。除了学校外，公司还将为教育元元的市场份额做出贡献。

North America, led by the United States and Canada, will lead markets in education while the Asia Pacific will record the fastest CAGR in the forecast period. Industry leaders include Adobe, Devden, Fotonvr, Hatchxr, Lenovo (NASDAQ:LNVGF), Meta (NASDAQ:META), and Samsung Electronics, among others.

由美国和加拿大领导的北美将领导教育市场，而亚太地区将记录预测时期最快的复合年增长率。行业领导者包括Adobe，Devden，Fotonvr，Hatchxr，Lenovo（NASDAQ：LNVGF），Meta（NASDAQ：META）和Samsung Electronics等。

The report notes that achieving a market capitalization of nearly $70 billion in seven years will be an uphill climb. Analysts point out that the technology used in the metaverse is still nascent and will require significant investment for large-scale implementation.

该报告指出，在七年中实现近700亿美元的市值将是艰难的攀登。分析师指出，元元中使用的技术仍然很新生，将需要大量投资才能进行大规模实施。

Furthermore, the report highlights the steep implementation costs on the infrastructure and content creation aspects of deploying metaverse in education.

此外，该报告强调了在教育中部署元元的基础设施和内容创建方面的巨大实施成本。

Several governments, including South Korea, have invested large sums to develop metaverse use cases. The goal of these institutions is to generate solutions for the problems of VR/AR hardware and software that are currently hindering the mainstream adoption of metaverse in the education sector.

包括韩国在内的几个政府已经投资了大笔款项来开发元用例。这些机构的目的是为VR/AR硬件和软件的问题生成解决方案，这些解决方案目前正在阻碍教育领域的主流采用。

Meta ups AI challenge with Llama 4 models

Meta UPS AI挑战与Llama 4模型

Meta (NASDAQ:META) has launched four new large language models (LLMs), including Llama 4 Scout, Maverick, and two versions of its flagship LLM, named Behemoth. The models, which are available commercially, are powered by 17 billion active parameters.

Meta（NASDAQ：META）推出了四种新的大型语言模型（LLMS），包括Llama 4 Scout，Maverick和两个版本的旗舰LLM，名为Bememoth。这些模型在商业上可用，由170亿个活动参数提供动力。

The models have key differences. Scout has 16 experts and fits in an Nvidia (NASDAQ:NVDA) H100 GPU, which Meta says is the “best multimodal model in its class.”

这些模型具有关键差异。侦察兵拥有16位专家，并适合NVIDIA（NASDAQ：NVDA）H100 GPU，Meta说，这是“同类产品中最好的多模式”。

However, the Llama 4 Maverick has 128 experts but surpasses GPT-4o and Gemini 2.0 across several benchmarks. Despite being compact, Meta’s statement notes that Maverick has the capabilities of DeepSeek’s coding abilities and scores highly on performance-to-cost ratio.

但是，Llama 4 Maverick拥有128位专家，但在几个基准中超过了GPT-4O和Gemini 2.0。尽管非常紧凑，但梅塔的声明指出，小牛具有DeepSeek编码能力的能力，并且在性能与成本比率上得分很高。

Llama 4 Behemoth, Meta’s most powerful LLM, is still in development. Upon launch, the company says it will outclass OpenAI’s latest LLM. Given its design as a teacher model, both Maverick and Scout lean on the incoming Llama 4 Behemoth for distillation.

Llama 4 Bememoth是Meta最强大的LLM，仍在开发中。该公司表示，它将超出OpenAI的最新LLM。鉴于其作为教师模特的设计，小牛和侦察兵都依靠即将到来的骆驼4庞然大物进行蒸馏。

“These models are our best yet thanks to distillation from Llama 4 Behemoth, a 288 billion active parameter model with 16 experts that is our most powerful yet and among the world’s smartest LLMs,” said Meta.

“这些模型是我们最好的，这是我们最好的，这要归功于Llama 4 Behemoth的蒸馏，这是一个2880亿个活跃参数模型，拥有16位专家，这是我们迄今为止最聪明的LLM中最强大的专家，” Meta说。

Despite the positive statement, early users of Meta’s Llama 4 models have criticized the LLMs for falling short on key metrics. EQ-Bench maintainer Sam Paech noted that “Llama-4 is performing not so well” in long-form writing benchmarks.

尽管有积极的陈述，但Meta的Llama 4模型的早期用户还是批评了LLMS缺乏关键指标。 EQ-Bench维护者Sam Paech指出，长期编写基准的“ Llama-4表现不佳”。

Furthermore, independent evaluations of the models reveal an inability to retrieve information at 300K token context length. However, at 85K tokens, Llama-4 showed glimmers of promises but failed to impress in standard logical puzzles.

此外，对模型的独立评估揭示了无法在300K令牌上下文长度上检索信息。但是，在85K令牌时，Llama-4表现出诺言的一线，但在标准逻辑难题中未能给人留下深刻印象。

Despite the shortcoming, Llama-4 was retrofitted with censorship guardrails, but its open-source nature may see users tweak it in the coming days.

尽管存在缺点，但Llama-4还是通过审查护栏进行了改造，但其开源性质可能会在未来几天内调整用户。

While blockchain is not a priority for Meta, the company is not slowing down on other emerging technologies. AI is the center of its digitalization pivot, with the technology giant racing to integrate its LLMs into its social media platforms.

尽管区块链不是元链的优先事项，但该公司并没有放慢其他新兴技术。 AI是其数字化枢纽的中心，技术巨头赛车将其LLMS整合到社交媒体平台中。

Outside of AI, Meta has its sights on enterprise

在AI之外，Meta对企业有目光