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!
Scraping the Web to Train AI and LLMs
1. Overview
Share your practical experiences with web scraping specifically for collecting data to train AI and large language models (LLMs).
2. Web Scraping Techniques
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What web scraping tools or techniques did you use?
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How did you overcome challenges such as CAPTCHAs, rate limits, or dynamic content?
3. Data Quality and Quantity:
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How did you ensure the quality and relevance of the scraped data?
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How did you address issues such as duplicate or irrelevant data?
4. Ethical Considerations:
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What ethical considerations did you take into account while scraping the web?
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How did you comply with the website's terms of service and legal requirements?
5. Conclusion:
Summarize your experiences with web scraping and its potential for AI and LLM development.
That’s all.
Ready to give it a shot?
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: