How Can Web Scraping Enhance LLM Performance? Share Your Thoughts To Win a Share of $2500

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The AI writing contest, sponsored by Bright Data and HackerNoon, offers a $2500 prize pool for writers, developers, data scientists, and researchers with fresh takes on the AI phenomenon. We’re looking for insights into the data that powers AI models — how it’s collected, how it shapes affects performance, and the best tools and methods for sourcing high-quality datasets.


With 10 days left until submissions close on December 1, 2024, it’s time to finalize your draft.


To simplify the process, we’ve shared 5 questions to guide your entry below⬇️⬇️. Simply reference a personal AI project when answering and submit!


Good luck!

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Scraping the Web to Train AI and LLMs

1. Overview

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Share your practical experiences with web scraping specifically for collecting data to train AI and large language models (LLMs).

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2. Web Scraping Techniques

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  • What web scraping tools or techniques did you use?

  • How did you overcome challenges such as CAPTCHAs, rate limits, or dynamic content?

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3. Data Quality and Quantity:

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  • How did you ensure the quality and relevance of the scraped data?

  • How did you address issues such as duplicate or irrelevant data?

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4. Ethical Considerations:

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  • What ethical considerations did you take into account while scraping the web?

  • How did you comply with the website’s terms of service and legal requirements?

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5. Conclusion:

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Summarize your experiences with web scraping and its potential for AI and LLM development.

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That’s all.


Ready to give it a shot?

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Start a draft or use this template to enter! Hurry, submissions close on December 1st, 2024!

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If you’d like to participate in the AI writing contest but feel this template isn’t right for you, feel free to explore any of the other three options:

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