Mission
LG Electronics
Model Compression & Long-context generation optimization
LG Electronics is a global leader in consumer electronics, home appliances, and mobile communications. The Exaone model is part of their growing portfolio in AI-powered technologies and robotics. Exaone refers to a robotic system or AI assistant designed to work within smart home or business environments, potentially integrating with other LG smart products. These products enhance convenience, efficiency, comfort, and environmental sustainability for consumers.
Problem
부족한 학습 및 서빙 인프라
Solution
비용 효율적인 워크 스페이스 및 모델 서빙
Results
학습 및 서빙 비용을 줄일 것으로 예상됨
VMonster
On-going
Workspace & Serving
VMonster is a company working on AI-powered conversational tools, specifically chatbots and natural language processing solutions. Their products focus on enterprise-grade AI for automating tasks, improving customer service, and enhancing communication via advanced conversational AI technology
Problem
부족한 학습 및 서빙 인프라
Solution
비용 효율적인 워크 스페이스 및 모델 서빙
Expected Results
학습 및 서빙 비용을 줄일 것으로 예상됨
StradVision
Model Compression
StradVision specializes in computer vision and autonomous driving solutions. They focus on developing vision-based software for autonomous vehicles, providing AI-driven perception solutions that enable cars to "see" and understand their surroundings. The company's core product is a vision AI software platform that processes camera data and helps self-driving vehicles navigate safely in real-world environments.
Problem
부족한 학습 및 서빙 인프라
Solution
비용 효율적인 워크 스페이스 및 모델 서빙
Results
학습 및 서빙 비용을 줄일 것으로 예상됨
Cheil
GenAIOps for text-2-image
Cheil Worldwide is not just a traditional advertising agency; it has embraced the power of AI and digital innovation to enhance its marketing and advertising solutions. As a global leader in creative marketing, Cheil has been incorporating AI-driven technologies into its strategies, leveraging them for better targeting, personalized experiences, and predictive analytics.
Problem
부족한 학습 및 서빙 인프라
Solution
비용 효율적인 워크 스페이스 및 모델 서빙
Results
학습 및 서빙 비용을 줄일 것으로 예상됨
