kaal:claim:4855607-027

Because annotating large datasets is labor intensive and expensive, smart contracts that reward community members with tokens for annotation are needed to sustain a steady flow of high quality labeled data for deep learning.

Annotating large datasets is labor-intensive and expensive. Using smart contracts, web3 can incentivize community members to annotate data by rewarding them with tokens. This system ensures a steady flow of high-quality labeled data, crucial for training deep learning models.

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), Deep Learning Optimization, p. 41
https://ssrn.com/abstract=4855607 · source PDF

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

• supervised deep learning that depends on large labeled datasets

designsupport: arguedtokenomicsrisk-and-incentivessmart-contracts

• extended_by kaal:claim:5095633-024 Smart contracts that release payment automatically once preset quality thresholds are met reduce human error, ...

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