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The Data Foundry for AI with Alexandr Wang from Scale
No Priors: Artificial Intelligence | Technology | Startups
Supervised synthetic data from the world’s smartest people
Producing high-quality data for AI systems can have near-infinite impact as even small improvements in models can have a significant cumulative effect. The effort to collect expert knowledge and insights translates into valuable data for machines to enhance human access to information. The digitization era may have passed, but data capture for AI use cases remains a challenge, highlighting the crucial role of data production. Data production is likened to spice production, serving as the lifeblood of future AI systems. Proprietary data from enterprises and governments holds immense potential for training powerful AI models. The future of synthetic data lies in hybrid human-AI systems, combining AI efficiency with human expertise to generate high-quality data critical for advancing AI models.
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