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Latest Articles

BootComp: Breaking Boundaries in AI Model Generation with Multi-Garment Control

Apr 9, 2025

Introducing Vella at AWS re:Invent 2024

Jan 21, 2025

OMNIOUS.AI Achieves Global Standard Security with ISO 27001 and 27701 Certifications

Dec 16, 2024

Reflecting Preference within Sequential Recommendation

Hyunsoo Chung October 14, 2024
Introduction Sequential recommendation, nowadays, plays an indispensable role in numerous e-commerce applications to appropriately predict and match each user's potential needs. Conventional deep learning-based approaches [1, 2] formulates this task as learning the feature representations...
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Normalized Embeddings for Personalized Recommendation

Hyunsoo Chung December 22, 2023
Introduction With the significant increase in the amount of available information on the internet, the demand for a reliable recommender system has grown rapidly. Among different variations, sequential recommendation typically aims at predicting the most probable next...
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Seamlessly Upgrading an EKS Cluster: A Zero-Downtime Approach

Jun-Cheol Park February 20, 2023
Since 2020, OMNIOUS has been operating all of its services based on Kubernetes, which has helped to significantly reduce the resources required for service operation with standardized interfaces and features such as autoscaling essential for stable service...
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Enhancing Productivity with Generative AI in Software Development

Jun-Cheol Park February 14, 2023
Recently, the introduction of Generative AI-powered products such as ChatGPT, Github Copilot, and Amazon Codewhisperer has transformed the software development landscape. Traditionally, finding the right solution required developers to research and search for information by searching libraries,...
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Exploring the Potential of ChatGPT for the Fashion Industry

Hyungwon Choi February 14, 2023
Generative AI refers to the AI technology that learns patterns from a vast amount of data and generates new data that has never been seen before. It can generate faces of people who do not exist in...
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