Learning sparse neural networks through L₀ regularization

This article likely discusses a research paper or development in the field of artificial intelligence, specifically focusing on techniques to create more efficient neural networks. The core concept revolves around 'L₀ regularization,' a method used to encourage sparsity in the network's weights, effectively pruning unnecessary connections and reducing computational complexity. The source, OpenAI News, suggests the article is related to OpenAI's research or announcements.

• •The article likely explores a method for creating more efficient neural networks.
• •L₀ regularization is the core technique discussed, promoting sparsity.
• •The research is likely related to OpenAI's work.