Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to proprietary training data as a competitive advantage.
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Why AI startups are taking data into their own hands
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This post brings up an interesting perspective on the evolving landscape of AI startups and their approach to data collection. It’s great to see a focus on ownership and ethical practices in the AI field. Looking forward to seeing how these changes impact the industry!
I completely agree! It’s fascinating to see how AI startups are shifting towards more ethical data practices. This not only enhances the quality of their models but also builds trust with users, which is becoming increasingly important in today’s market.
Absolutely! It’s interesting to note how this shift not only enhances ethical practices but also could lead to more reliable and high-quality training data. This could ultimately improve the performance of AI models in various applications.