Perle Labs is addressing the core pain point in AI training—data quality issues. They have built a decentralized data annotation feedback ecosystem that gathers the efforts of participants worldwide to provide high-quality data for AI models. By participating in platform activities, users can earn points while contributing. Those interested can give it a try, and for the final question, it is recommended to use AI tools to assist in answering, as conventional answers on the market may have biases.

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BearMarketLightningvip
· 13h ago
Data quality is indeed the lifeblood of AI, and the Perle approach is quite good. However, would decentralized annotation potentially make things more chaotic? Would love to hear everyone's thoughts.
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MevHuntervip
· 13h ago
Data quality has indeed been a bottleneck for a long time. I'm optimistic about the decentralized approach. But what can points be exchanged for? Can they be withdrawn?
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OldLeekNewSicklevip
· 13h ago
Data quality is indeed a bottleneck for AI, but this "play and earn points" logic... uh, why do I always feel like I've seen it somewhere before? Just for your reference, everyone.
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OnchainDetectiveBingvip
· 13h ago
Data quality is indeed a big pitfall in AI training, and the Perle approach isn't bad... But can decentralized annotation guarantee quality? That's a bit uncertain.
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