Conversational AI: Current State, Challenges & Future Directions
Conversational AI advances in NLP, ML & dialogue management. Challenges remain in handling ambiguity, context & unforeseen inputs. Future focus on robust models, multimodal capabilities & human-like reasoning.
The rise of conversational AI, fueled by advancements in artificial intelligence and natural language processing (NLP), has transformed how we interact with technology. Chatbots, once rudimentary rule-based systems, are now sophisticated entities capable of understanding complex queries, engaging in nuanced dialogues, and even exhibiting a semblance of personality. This article dives deep into the intricate technological landscape that underpins these conversational agents, exploring the core components, advanced techniques, and future directions of this rapidly evolving field. I. Core Pillars...