Language models are stateless compute engines. To build fluid, multi-turn AI assistants at enterprise scale, you have to build the memory yourself. This deep-dive explores how to architect backend context propagation pipelines, avoid hot partitions, manage strict token budgets, and use event-dr...
Source: [HackerNoon](https://hackernoon.com/how-enterprise-ai-systems-simulate-memory-without-breaking-the-token-budget?source=rss)