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Model-Based vs. Model-Free Learning in Deep Learning
Deep learning is increasingly leveraging model-free approaches like reinforcement learning, stable diffusion, and transformers, highlighting a shift from model-based learning. Combining neural networks to handle complex and difficult-to-model aspects such as physics is gaining traction, leading to innovative approaches in integrating different techniques for optimal results.