Naver AI Search: Ecosystem Integration & "Thinking AI

Naver is advancing its AI search with a unique approach, focusing on its existing ecosystem. The company aims to integrate user-generated content, shopping, and local services into a single AI search portal. Naver recently unveiled its new language model and core technologies for 'AI Tab' at a Tech Deep Talk session. This model is a lightweight version of HyperCLOVA X, specifically designed for AI search. It combines general reasoning with service execution abilities. What's interesting is this new model improves response speed and handles longer conversations more effectively. It also learns through trial and error, moving from memorizing answers to a "thinking AI." For example, if a question is vague, the AI learns to ask clarifying follow-up questions. Naver is also strengthening integration with its services. The AI can use place search results for restaurant recommendations or check reservation availability for specific requests. The bottom line is Naver wants to create an AI that not only answers questions but also actively uses its services to provide comprehensive solutions.