Continuous Prompts: LLM-Augmented Pipeline Processing over Unstructured Streams
Monitoring unstructured streams increasingly requires persistent, semantics-aware computation, yet today’s LLM frameworks remain stateless and one-shot, limi...
Monitoring unstructured streams increasingly requires persistent, semantics-aware computation, yet today’s LLM frameworks remain stateless and one-shot, limi...
Modern LLM pipelines increasingly resemble data-centric systems: they retrieve external context, compose intermediate outputs, validate results, and adapt ba...