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Free Whitepaper: Acquiring High-Quality Web Data for LLM Fine-Tuning

Roberta Aukstikalnyte

2024-11-191 min read
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If you’re an AI specialist, you’re already familiar with LLM capabilities and the huge impact they had over the last few years––LLMs are truly reshaping the way machines understand and generate human language. 

You must also know that perfecting the model is all about the fine-tuning process. For that, you need access to vast amounts of high-quality data, which is no easy task. Hence, we’ve prepared an all-in-one, extensive guide to acquiring large-scale data for LLM fine-tuning. More specifically, this white paper answers these questions: 

  • What are the different data categories used for LLM fine-tuning? 

  • Which types of can and cannot be scraped? 

  • Large-scale scraping: how to deal with it? 

  • How do you optimize costs while staying within budget?

  • What legal and ethical challenges lie ahead for LLMs? A specialist’s predictions. 

  • … and more. 

"Prioritizing high-quality, contextually relevant data becomes critical. Organizations are innovating with AI-driven web scraping tools to handle diverse web content effectively, ensuring data integrity while maintaining compliance." - Mantas L., AI Tech Lead

Are you an AI specialist trying to find a data acquisition solution for LLM training? Download this white paper and learn how Oxylabs provides AI companies with tailored, cost-effective web scraping solutions. 

Free PDF

Free Whitepaper: Acquiring High-Quality Web Data for LLM Fine-Tuning

IT/Tech

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About the author

Roberta Aukstikalnyte

Senior Content Manager

Roberta Aukstikalnyte is a Senior Content Manager at Oxylabs. Having worked various jobs in the tech industry, she especially enjoys finding ways to express complex ideas in simple ways through content. In her free time, Roberta unwinds by reading Ottessa Moshfegh's novels, going to boxing classes, and playing around with makeup.

All information on Oxylabs Blog is provided on an "as is" basis and for informational purposes only. We make no representation and disclaim all liability with respect to your use of any information contained on Oxylabs Blog or any third-party websites that may be linked therein. Before engaging in scraping activities of any kind you should consult your legal advisors and carefully read the particular website's terms of service or receive a scraping license.

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