包阅导读总结
1. `AI 应用`、`开发者`、`数据`、`平台`、`创新`
2. 本文探讨了消费者对 AI 应用的期待，以及开发者在实现这些应用时所需的条件，强调了开发者在 AI 革命中的引领作用，并介绍了相关创新案例和获取更多信息的途径。
3.
– 消费者期望通过 AI 应用实现个性化需求，如在特定城市找到符合条件的房子。
– 举例：在异地看到喜欢的房子，通过拍照和描述需求获取符合的房源。
– 开发者需统一操作和向量数据，使用偏好工具和流行的语言模型。
– 需求：平台能使工作更轻松，开发体验无缝且安全。
– 开发者利用不同数据推动创新，如音频数据用于诊断应用。
– 举例：实时记录声音，与已知问题数据库对比以发现潜在问题。
– 介绍更多 AI 应用相关信息的获取途径。
– 网站：www.mongodb.com/LoveYourDevelopers ，可探索用例、数据要求等，还能免费试用 MongoDB Atlas 。
思维导图：
文章地址：https://www.mongodb.com/blog/post/ai-apps-what-world-sees-vs-what-developers-see
文章来源：mongodb.com
作者：Casey Stegman
发布时间：2024/7/1 16:22
语言：英文
总字数：425字
预计阅读时间：2分钟
评分：88分
标签：AI,开发者工具,消费者期望,技术挑战
以下为原文内容
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Imagine you’re in the market for a new home in, say, Atlanta. And you’re on vacation in a different city. You see an amazing-looking house, whose design you love. You open up your favorite real estate app, snap a picture of this house, and type: “Find me a home that looks like this in Atlanta, in my price range, and within my budget, that’s also next to a park.” Seconds later, you’re served a list of homes that not only resemble this one, but match all your other specifications.
This is what the world—specifically, consumers—expects when it comes to AI-powered applications.
But when developers see the possibilities for these hyper-personalized, interactive, and conversational apps, they also see what goes into building them.
VIDEO
To make these advanced apps a reality, developers need to be able to unify operational and vector data. They also want to be able to use their preferred tools and popular LLMs.
Most of all, developers are looking for a platform that makes their jobs easier—while, at the same time, providing a development experience that’s both seamless and secure.
And it’s critical that developers have all of this.
Because as in previous tech revolutions (the software revolution, the birth of the World Wide Web, the dawn of the smartphone, etc.), it’s developers who are leading the new AI revolution.
And it’s developers who will use different kinds of data to push the boundaries of what’s possible.
Take for instance audio data. Imagine a diagnostic application that records real-time sounds and turns those sounds into vectors. Then an AI model checks those sounds against a database of known issues: all of which pinpoints the specific sound that signals a potential problem that can now be fixed. Until recently, this kind of innovation wasn’t possible.
VIDEO
This is also just the tip of the iceberg when it comes to the types of new applications that developers will build in this new era of AI. Especially when given a platform that not only makes working with operational and vector data easier, but provides an experience that developers actually love.
To learn more about how developers are shaping the AI revolution, and how we at MongoDB not only celebrate them, but support them, visit www.mongodb.com/LoveYourDevelopers.
There you can explore other AI use cases, see data requirements for building these more intelligent applications, discover developers who are innovating in this space, and get started with MongoDB Atlas for free.
