Part 8/13:
Harish dives into the architecture of inference systems, highlighting how context management is vital. For conversational AI, session management—via a "context manager"—ensures that interactions are coherent over time. This process involves maintaining a conversation cache, which stores ephemeral and semi-permanent data, like recent interactions or changes in user profiles, to personalize subsequent responses.
He illustrates how context-aware inference allows AI systems to adapt responses dynamically, such as recommending shoe sizes based on previous purchases or current trends, without over-providing unnecessary or sensitive data.