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Technical Approaches to Reducing Hallucination in LLMs

With the advancement of DX, generative AI is now widely used in text creation, customer support, and data analysis, contributing to improved efficiency and competitiveness. However, at the same time, a serious issue known as “hallucination” has emerged—when AI generates information that appears plausible but is in fact incorrect.

What is Image Generation AI? A complete guide to its types, mechanisms, use cases, and practical applications.

In today’s digital society, high-quality images are indispensable—from Instagram posts to web banners, game characters, and advertising posters. However, traditional production required specialized skills and significant costs, creating major barriers. This is where “Image Generation AI” comes into the spotlight. By simply entering text or a simple prompt, users can instantly generate professional-level visuals. For example, marketers can create advertising materials in seconds, and artists can easily experiment with new styles.

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