生成式AI如何影响流媒体货币化?
Generative AI is a game-changer for all sorts of businesses, and how to leverage it is a key strategic and technical concern for a range of streaming organizations looking to monetize their content and operations. Nadine Krefetz，顾问， 现实的软件, 特约编辑，流媒体, explores generative AI's current and imminent impact with C.J. Leonard, Principal Owner, MAD Leo Consulting, LLC, and Darcy Lorincz, Chief Technology Officer, 巴雷特-杰克逊拍卖公司，这段视频来自他们的小组 流媒体连接2023.
“Which area does GenAI have the most impact from the monetization perspective?克雷费兹问道. “Is it being able to create more versions of something that's important? 它能瞄准目标吗? What is the value that you're creating out of your gen AI experience?”
C.J. 伦纳德说, “我现在还没有一个明确的答案, 但我知道有了视频, 具体地说 DALL·E 2 and ChatGPT在美国，有付费版本. There are other things you can do with scanning video and so forth, [where] all this data that we don't even realize we have will come into light. 然后是公司……WPP 刚和。做了笔交易 NVIDIA 能够将GenAI只用于创意. But I think as they figure out how to take that information about the creatives, 把它和它跑的地方配对, 用户是什么?, 问问GenAI引擎, 获得更好结果的最佳方式是什么?’, I think that will come together over the next few years.”
克雷费兹问洛林茨, “Do you want to chime in on whether you're seeing it from an efficiency or from a personalization point of view in terms of what is the biggest benefit for you?”
Lorincz focuses on product placement as one unique application of GenAI. 关于书面内容, he says that generative language models have already made it possible to incorporate brands easily and quickly into copy with text replace prompts. However, 在视频和图像方面, he says the technology is not quite there yet for easily replicating and replacing images, 尽管它正在快速追赶. “上周, Midjourney just came out with the ability to replace parts of an image,” he says. “所以如果我想替换桌子上的东西, 这是一个可乐瓶, and now I want a beer bottle or something in the background, 我可以用绳子套住它，然后告诉它怎么做, and boom, 几秒钟就能换掉. So you really see that what used to be a lot of heavy lifting, even for some of these computer vision capabilities for product image replacements, 我只是做了个什么都没有的汉堡.”
Lorincz emphasizes that while using open-source imaging models can be workable, 现在的关键是训练你自己的生成模型. “When you train your own model,” he says, “then you're all in on only your stuff. 我只会用你的语气说话. 它只会显示你的图像. 这是下一步. 在最后 Ai4 我几周前参加了一个会议, all the companies there were [talking] about training your own language model.”
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