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The Model-Infrastructure Co-Evolution in Conversational NLU: From ELIZA to Large Language Models
Conversational Natural Language Understanding (NLU) has passed through five distinguishable technological eras: rule-based symbolic parsing, statistical and probabilistic modelling, neural sequence learning, Transformer-based pretraining, and the current large language model regime. Existing accounts of this history te...
Memory Architecture for Managed Cloud Agents: A Memory-Plane Approach to Hydration, Persistence, and Forgetting
Memory" has become a catch-all term in applied agent engineering: it covers saved user facts, retained conversation history, workspace knowledge, transient session state, and the retrieval indices used to search all of it. Production systems routinely collapse this variety into a single shorthand, treating memory as re...