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This internship will explore the application of large language models to generate high-quality clinical documentation. The focus will be on fine-tuning large language models while maintaining general steerability in the clinical domain.
Job Responsibility:
Develop prompts and fine-tune large language models for accurate clinical language generation
Apply techniques to distill knowledge from highly performant large language models to relatively smaller models
Design and develop scalable and robust tools for data processing, experimentation, and analysis of results. Contribute wellengineered components to the team’s software stack
Drive systematic improvements in system accuracy through carefully designed experimentation and analysis
Produce clear documentation of methods, results, and insights, and actively share findings through presentations and collaborative discussions
Requirements:
Currently enrolled in a PhD program in Computer Science or a related STEM field
At least 1 year of experience with natural language processing or machine learning