This is an automated archive made by the Lemmit Bot.
The original was posted on /r/artificial by /u/NuseAI on 2024-06-02 12:16:37+00:00.
- Generative AI systems rely heavily on training data to make accurate predictions.
- Having access to more data can lead to better performance of AI models.
- Data curation and quality are crucial for model success, sometimes more important than quantity.
- High-quality annotations have shown to enhance the performance of AI models significantly.
- The emphasis on large, high-quality datasets may centralize AI development among tech giants with substantial budgets.
- Some companies resort to questionable methods to acquire training data, raising ethical concerns in the AI industry.
- Even legitimate data deals can contribute to an inequitable AI ecosystem.
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