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探索Generative AI在多个领域的应用,包括医疗保健、汽车体验、图像处理等。了解最新的技术进展和创新应用,以及如何利用Generative AI提高生产力和创造力。

The Keyword

The Keyword -

A new report explores the economic impact of generative AI

an illustration of abstract lines and dots in primary colors

生成型人工智能是一种能够加速整体经济增长的稀有技术,有潜力积极地改变经济和社会。根据估计,美国经济中近80%的工作岗位可以通过使用生成型人工智能来至少将其任务完成速度提高一倍,而且质量不会降低。生成型人工智能已经带来了大量的生产力提升,随着人们和组织开发出利用其能力的互补创新,这种提升将会增加和扩散,从而加速经济增长。对于大规模技术失业的担忧可能夸大了。历史上的通用技术发展表明,它们带来的增长往往伴随着对劳动力的强烈需求,尽管这种需求通常是在新的职业中。生成型人工智能的快速变化将需要及时有效的再培训努力,而生成型人工智能本身具有帮助人们更好地学习如何使用它的独特能力。此外,由于生成型人工智能可以积累知识并随时提供,它在提高初级员工绩效、帮助解决工资不平

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The Verge

The Verge -

Zuckerberg says it will take Meta years to make money from generative AI

Illustration by Alex Castro / The Verge The generative AI gold rush is underway — just don’t expect it to create profits anytime soon. That was the message from Meta CEO Mark Zuckerberg to investors during Wednesday’s call for the company’s first-quarter earnings report. Having just put its ChatGPT competitor in a bunch of places across Instagram, Facebook, and WhatsApp, much of the call focused on exactly how generative AI will become a money-making endeavor for Meta. The company is already quite profitable, having grown net income to more than $12 billion on $36.5 billion in revenue in the last quarter alone. But its revenue growth is expected to slow going forward. At the same time, it’s spending more than ever on AI and the metaverse. “Historically, investing to build... Continue reading…

Meta CEO Mark Zuckerberg stated that generative AI may not generate profits in the near future, but Meta is already profitable. Revenue growth is expected to slow down. Monetization plans for Meta AI include scaling business messaging, introducing ads or paid content, and offering paid access to bigger AI models. Zuckerberg is optimistic about the success of Meta's smart glasses with Ray-Ban.

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KDnuggets

KDnuggets -

Integrating Generative AI in Content Creation

Content creation can be tedious work and takes much of our time. With Generative AI, we can improve the quality and efficiency of our work.

生成AI可以提高内容创作的质量和效率,能够生成类似于人工创作的文本和图像内容。对于文本内容,它可以帮助内容构思、创建大纲和增强现有内容。对于图像内容,它可以生成与文本内容相配的图像,并为特定受众个性化内容。将生成AI整合到内容创作中可以使过程更加高效和有效。

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KDnuggets

KDnuggets -

How to Standout and Safeguard Your Job in the Generative AI Era

The secret recipe to excel in your career in AI.

本文讨论了在AI领域建立职业生涯的方法,包括掌握基本原理、学习基础知识和机器学习算法,以及编程和实践能力的重要性。同时强调了数据科学家需要具备的技能和与利益相关者的合作和沟通。鼓励以数据为先的AI方法,并寻找支持者。

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The Keyword

The Keyword -

Enhance visual storytelling in Demand Gen with generative AI

An image that shows how generative assets may look across Google and YouTube’s immersive surfaces.

谷歌引入生成图像工具,帮助广告商创建引人注目的视觉效果。这些工具由谷歌人工智能驱动,允许广告商根据提供的提示生成高质量的图像资产。广告商还可以提供文本提示以生成更多图像资产。谷歌确保生成的图像是独特的,并包含识别它们为生成的机制。建议广告商通过多格式广告来多样化创意策略,并提供高质量的视觉效果。他们还应评估和优化性能,以微调他们的创意。

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IBM Blog

IBM Blog -

4 ways generative AI addresses manufacturing challenges

Explore 4 ways that generative AI technologies will significantly accelerate digitalization initiatives in the manufacturing industry. The post 4 ways generative AI addresses manufacturing challenges appeared first on IBM Blog.

制造业面临成本压力、供应链波动和3D打印、物联网等技术冲击。制造商需要优化流程、提高效率和设备效能,减少碳排放、采用循环经济和提高环保性。生成AI技术可帮助制造商提高效率和准确性,加速数字化进程。

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BMC Software | Blogs

BMC Software | Blogs -

Leveraging Generative AI in Mainframe DevOps

In the dynamic landscape of software development, where mainframe systems continue to play a critical role, the adoption of artificial intelligence (AI) is revolutionizing traditional practices. Specifically, the emergence of generative AI presents a paradigm shift in how developers interact with mainframe applications within the DevOps ecosystem. This article delves into the fundamental disparities between […]

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BMC Software | Blogs

BMC Software | Blogs -

Leveraging Generative AI in Mainframe DevOps

In the dynamic landscape of software development, where mainframe systems continue to play a critical role, the adoption of artificial intelligence (AI) is revolutionizing traditional practices. Specifically, the emergence of generative AI presents a paradigm shift in how developers interact with mainframe applications within the DevOps ecosystem. This article delves into the fundamental disparities between […]

人工智能正在改变主机应用开发,生成式AI为开发者提供新体验,优化系统性能,参与软件开发周期,提高生产力和协作效率。

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The Verge

The Verge -

Adobe Premiere Pro is getting generative AI video tools — and hopefully OpenAI’s Sora

Generative AI-powered tools for quickly removing objects in video clips will be arriving in Premiere Pro later this year. | Image: Adobe Adobe is working on a generative AI video model for its Firefly family that will bring new tools to its Premiere Pro video editing platform. These new Firefly tools — alongside some proposed third-party integrations with Runway, Pika Labs, and OpenAI’s Sora models — will allow Premiere Pro users to generate video and add or remove objects using text prompts (just like Photoshop’s Generative Fill feature) and extend the length of video clips. Unlike many of Adobe’s previous Firefly-related announcements, no release date — beta or otherwise — has been established for the company’s new video generation tools, only that they’ll roll out “this year.” And while the creative software giant showcased what its own video model is currently capable... Continue reading…

Adobe正在为其Firefly系列开发生成式AI视频模型,为Premiere Pro带来新工具。这些工具允许用户使用文本提示生成视频、添加或删除对象,并延长视频片段。Adobe计划与第三方集成,如Runway、Pika Labs和OpenAI的Sora模型。用户可以选择使用Pika、Sora或Runway AI等模型。生成的视频剪辑可以应用Content Credentials标签以识别使用的AI模型。与第三方AI公司合作伙伴关系是明智的选择。OpenAI的Sora生成能力更强大。

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Scramblings

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