For the complete documentation index, see llms.txt. This page is also available as Markdown.

What solution should I use for building LLMs?

Find recommended Oxylabs solutions for high-quality datasets to train LLMs.

Training large language models (LLMs) requires diverse and high-quality datasets. Depending on your needs, you may require large-scale real-time web data or structured datasets to enhance AI applications like chatbots models.

Solutions and their provided data

  • Oxylabs Web API gives your applications and AI agents live access to the web. Use /search to find relevant sources and /scrape to read them, with output as Markdown, HTML, JSON, or a screenshot. Markdown is an easy-to-read format for LLM workflows. If you need more info, you can also check the Web API product page.

  • Oxylabs Video Data API helps you extract video metadata, subtitles, and channel data, and download video and audio, making it ideal for training AI in speech recognition (ASR) and conversational AI. For the options, see Which Oxylabs products can I use if I need large volumes of video data for AI model training?

Please note that all information provided herein is for informational purposes only. Use of Oxylabs products does not grant you any rights with regards to the described data, videos or images, which may be protected copyright, intellectual property or other rights. Before engaging in web scraping activities of any kind you should consult your legal advisors and carefully read the particular website's terms of service or receive a web scraping license.

Last updated

Was this helpful?