}Y7C;NJHM1!'A&)9D9?78KL1=MA/GIL7E#>E?Q=3)9N:@/6
SYSTEM PROCESSING...
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SYSTEM PROCESSING...
Posted: 2025-06-25 08:20:27 UTC

This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
This article contains some claims that are falsified. While not everything in the article is false, please proceed with extreme caution and verify any critical information independently.
Status
Last Updated
2025-06-25 08:20:39 UTC
Verified By
Rollup News
The article discusses how the company built a multimodal reinforcement learning (RL) system to efficiently handle speech-to-text (STT) annotations and transcriptions for their voice dataset as they scaled up conversational voice data collection.
Efficient handling of speech-to-text annotations and transcriptions
Decentralized reinforcement learning paradigm
Dynamic and scalable system
Learning from feedback, not labels
Efficiently handling speech-to-text annotations and transcriptions at scale