Student will research and help develop scientific foundation models. Key techniques to be explored include domain adaptation, multimodal modeling, supervised fine tuning, reinforcement learning, and synthetic data generation. Student responsibilities will include literature review, data preparation, model training and evaluation/benchmarking.
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Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed