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Connectionism links training data through a weighted neural network to model output; training updates weights while inference uses the current context.

Connectionism in AI: How Neural Networks Learn Relationships

Published September 14, 2026 by Paul Bryant

Understand how neural networks learn relationships, then separate model training from retrieval, context, and application memory. Use those distinctions to make clearer enterprise AI architecture decisions.

Categories AI Tags AI Governance, AI memory, Connectionism, Deep Learning, large language models, Neural Networks, RAG 1 Comment

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