> For the complete documentation index, see [llms.txt](https://developers.oxylabs.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developers.oxylabs.io/help-center/cn/mian-xiang-llm-de-shu-ju/what-solution-should-i-use-for-building-llms.md).

# 构建 LLM 时应使用什么解决方案？

查找推荐用于获取高质量数据集以训练 LLM 的 Oxylabs 解决方案。

训练大型语言模型（LLMs）需要多样且高质量的数据集。根据您的需求，您可能需要大规模实时网页数据或结构化数据集，以增强诸如聊天机器人模型等 AI 应用。

### 解决方案及其提供的数据 <a href="#h_3435681324" id="h_3435681324"></a>

* **Oxylabs Web API** 让您的应用和 AI 代理能够实时访问网页。使用 `/search` 查找相关来源，并使用 `/scrape` 读取它们，输出格式可为 Markdown、HTML、JSON 或截图。Markdown 是一种易于阅读的格式，适用于 LLM 工作流。如果您需要更多信息，还可以查看 [Web API 产品页面](https://developers.oxylabs.io/products/web-api).
* **Oxylabs 视频数据API** 帮助您提取视频元数据、字幕和频道数据，并下载视频和音频，这使其非常适合用于语音识别（ASR）和对话式 AI 的训练。有关选项，请参见 [如果我需要大量视频数据用于 AI 模型训练，可以使用哪些 Oxylabs 产品？](https://developers.oxylabs.io/help-center/data-for-llms/which-oxylabs-products-can-i-use-if-i-need-large-volumes-of-video-data-for-ai-model-training)

{% hint style="info" %}
请注意，此处提供的所有信息仅供参考。使用 Oxylabs 产品并不赋予您与所述数据、视频或图像相关的任何权利，这些内容可能受版权、知识产权或其他权利保护。在进行任何形式的网页抓取活动之前，您应咨询您的法律顾问，并仔细阅读相关网站的服务条款，或获取网页抓取许可。
{% endhint %}


---

# Agent Instructions
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