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Sponsored by Bright Data and HackerNoon, the AI writing contest offers a fantastic opportunity to earn money by writing about a concept that has taken the world by storm—AI and, more importantly, the data that fuels it. You could win a share of the contest’s $2500 prize pool by exploring Bright Data’s Dataset Marketplace and Web Data for AI and LLM training, using your AI project as a case study.
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Below is an outline you can use to get your story started.
Using Bright Data for AI and LLM Training
1. Introduction
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Describe the AI project you’re working on and what you hope to accomplish with it.
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2. Data Collection
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What types of datasets (text, audio, image, video or others) did you collect using Bright Data’s tools?
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How did you choose these datasets and why were they relevant to your project?
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What challenges or limitations did you encounter during data collection?
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3. Analysis and Results
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How did you analyze the collected data and what did you learn from it?
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How did the collected data contribute to your AI model’s performance?
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Did you discover any benefits of using Bright Data’s APIs over other data collection methods? If so, share them.
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4. Future of AI and LLM Training
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- Based on your experience working on this project, what role do you think Bright Data will play in the future of AI training?
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Conclusion
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Summarize your key findings.
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Ready to get started?
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Start a draft or use this template to enter! 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 two options:
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