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OpenAI 为 ChatGPT 引入新广告堆栈，以提高用户信任和相关性OpenAI introduces a new ad stack for ChatGPT to improve user trust and relevance
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以下内容为 AI 自动翻译，英文原文附后供参考。
摘要
OpenAI 发布了一种新型广告堆栈，旨在通过确保广告与对话响应清晰区分来增强用户体验。该系统利用大型语言模型更好地理解用户意图，从而提供更相关的广告。该举措旨在通过减少广告的侵入性，使其更符合用户需求，从而促进用户信任。
OpenAI has unveiled a novel advertising stack for ChatGPT designed to enhance user experience by ensuring that ads are clearly differentiated from conversational responses. This new system leverages a large language model to better understand user intent, allowing for the delivery of more relevant advertisements. The initiative aims to foster greater user trust by making the advertising experience less intrusive and more aligned with user needs.
要点
新广告堆栈使用 AI 区分广告与用户互动。
The new ad stack uses AI to differentiate ads from user interactions.
优先考虑用户意图，以提供更相关的广告。
User intent is prioritized to deliver more relevant advertisements.
该创新旨在建立用户与平台之间的信任。
The innovation seeks to build trust between users and the platform.
为何重要
这一发展标志着 AI 应用中向更以用户为中心的广告模型的转变，可能为广告如何融入对话界面设定新的标准。
This development signifies a shift towards more user-centric advertising models in AI applications, potentially setting a new standard for how ads are integrated into conversational interfaces.
产品经理
产品经理应注意广告中用户信任的重要性，因为这可能影响用户参与和留存策略。
Product managers should note the importance of user trust in advertising, as this could influence user engagement and retention strategies.
开发者
对于开发者而言，这一创新突显了 AI 在创建更直观和用户友好的广告解决方案中的潜力，这可能会激励其他领域类似应用的出现。
For developers, this innovation highlights the potential of AI in creating more intuitive and user-friendly advertising solutions, which could inspire similar applications in other domains.
学生与求职者
学生和求职者可以从这种以用户为中心的设计方法中学习，这在技术角色中越来越重要，尤其是在产品开发和市场营销方面。
Students and job-seekers can learn from this approach to user-centric design, which is increasingly important in tech roles, especially in product development and marketing.
覆盖来源
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OpenAI News
How we built ChatGPT’s novel ad stack for user trust and relevanceLearn how OpenAI built ChatGPT’s LLM-powered ad stack to understand conversational intent, keep ads separate from answers, and deliver relevant ads at scale.