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Optimizes and builds inference engines for large language models (LLMs) to serve the EXAONE model efficiently across frameworks, while contributing to open-source LLM serving projects like vLLM or SGLang.
Research intern designs AI models to predict, generate, and optimize protein structures and sequences for drug discovery and enzyme engineering.
Internship developing cutting-edge large language models: training, fine-tuning, benchmarking, and optimizing inference engines for state-of-the-art AI foundations.
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