以「垂直模型」引领AIGC商业化落地,FancyTech的技术路径是什么?

我们正在见证又一轮技术革新,这一次是 AIGC 为个体提供表达自我的工具,让创作变得更加容易和普及,但背后的推动力却并不是「大」模型。

两年以来,AIGC 技术的发展速度超过所有人的想象,席卷了从文本、图像到视频的各个领域。


关于 AIGC 商业化路径的讨论从来没有停止过,其中,有共识也有路线分化。

一方面,通用模型的强大能力令人惊叹,在各行各业展示出应用潜力。特别是 DiT、VAR 等架构的提出,让 Scaling Law 实现了从文本到视觉生成领域的跨越。在这一法则的指引下,很多大模型厂商朝着增加训练数据、算力投入和堆积参数的方向持续前进。

另一方面,我们也看到,通用模型并不意味着「通杀」,面对很多细分赛道的任务,一个「训练有素」的垂直模型反而能够取得更好的效果。

随着大模型技术进入落地加速期,后一种商业化路径获得的关注快速增长。

这个演进过程中,一家来自中国的创业公司 FancyTech 脱颖而出:它以面向商业类视觉内容生成的标准化产品快速拓展市场,比同行们更早一步验证了「垂直模型」在产业落地层面的优越性。

环顾国内大模型创业圈,FancyTech 的商业化战绩是有目共睹的。但较少为人所知的是,这家诞生仅几年的公司,凭借怎样的垂直模型和技术优势跑在了赛道前列。

在一次专访中,机器之心和 FancyTech 聊了聊他们正在做的技术探索。

FancyTech 发布视频垂直模型 DeepVideo

如何突破行业壁垒?

一般来说,在通用模型的零样本泛化能力达到某个水准后,在其之上做微调就可用于下游任务。这也是当下很多大模型产品落地的打法。但从实际效果来看,仅仅是「微调」还不能满足产业应用需求,因为各个行业的内容生成任务都有自己的特定而复杂的一套标准。

通用模型或许能完成好 70% 的常规任务,但客户真正需要的是能 100% 满足需求的「垂直模型」。以商业视觉设计为例,以往的相关工作均由有长期积累的专业人士完成,且需要根据品牌方的具体需求进行设计和调整,其中涵盖大量的人工经验。比起美观度和指令遵循程度等指标,「商品还原度」是这项任务中品牌方更为重视的一点,也是品牌方是否愿意付费的决定因素。

在自研面向商业图像 / 视频的垂直模型过程中,FancyTech 将核心挑战拆解开来:如何让商品足够还原且融入背景,特别是在生成视频中,实现商品的运动可控且不形变。

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Letting every ordinary person easily turn creativity into reality, AIGC technology is truly reaching the average person.

Regardless of whether it is “universal” or “vertical,” the end goal of both paths is commercialization.

The most direct beneficiaries of FancyTech’s vertical model landing are the brand owners. In the AIGC era, the production cycle of a commercial video, which used to take several weeks from planning to shooting to editing, now only takes a dozen minutes and costs only one-fifth of the original cost.

With the advantage of massive unique data and industry Know-how, FancyTech has gained wide recognition worldwide through the advantages of vertical models, forging partnerships with Samsung and LG in South Korea; collaborating with Lazada, a well-known e-commerce platform in Southeast Asia; in the United States, being favored by local brands such as Kate Sommerville and Solawave; in Europe, winning the LVMH Innovation Award and deepening cooperation with European clients.

In addition to the core vertical models, FancyTech also offers the ability for full-chain automatic release and data feedback of AI short videos, driving continuous growth in product sales.

More importantly, the vertical model makes the path for ordinary people to utilize AIGC technology to increase productivity more concrete. For instance, a street-side traditional photo studio can transform its business from simple portrait shooting to professional commercial visual material production without the need to increase professional equipment and personnel, with the help of FancyTech’s products.

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Now, with just a phone at hand, almost everyone can shoot videos, record music, and share their creations with the world. Imagine a future where AIGC once again releases personal creativity – allowing ordinary people to easily overcome professional barriers, turn ideas into reality more effortlessly, thereby enabling leaps in productivity across every industry, and generating more emerging industries. The era of dividends brought by AIGC technology is truly beginning to reach the average person.

感谢阅读!如果您对AI的更多资讯感兴趣,可以查看更多AI文章:GPTNB

以「垂直模型」引领AIGC商业化落地,FancyTech的技术路径是什么?

https://www.gptnb.com/2024/08/17/2024-08-16-auto5_2-Gj2HNs/

作者

ByteAILab

发布于

2024-08-17

更新于

2025-03-21

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