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By Assem Hijazi ยท assemhijazi.me
This infographic organizes six architectural perspectives around the capabilities they emphasize: pattern recognition, sequence processing, longer-range dependencies, language and context representation, dynamic adaptation, and potential hybrid integration. It introduces feedforward networks, RNNs, LSTMs, transformers and LLMs, and liquid neural networks before presenting a future combination of complementary capabilities. The progression is a conceptual learning map, not a strict chronology or a claim that each architecture replaces the previous one. The related book explores the distinctions and the possibilities for combining approaches.