Claire, a Context-Stable AI: Moving Beyond Chatbots to Semantic Agents

Author(s): Chen Chien Fang

Originally published on Towards AI.

From Chatbots to Semantic Agents: Claire Unveils a New Paradigm in AI Dialogue

In all the AI dialogue demos you’ve seen, how many could maintain a coherent role, infer intent from broken phrases, and output a structured response, not just a clever guess?

The article explores the limitations of conventional chatbots and presents Claire, a context-stable semantic agent, which enhances AI interactions by leveraging a new protocol called SPX. Claire is designed to effectively manage various communication challenges, including vague inputs and contradictory requests, ensuring coherent and contextually appropriate responses. The piece details her structural functionality compared to traditional chatbots, emphasizing SPX’s role in maintaining dialogue integrity and semantic consistency, alongside various potential applications in different sectors such as healthcare and customer service.

Read the full blog for free on Medium.

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Published via Towards AI