Duke University Students Gain Practical AI Skills Through New Grant
New Grant Funds Hands-On Experience with Large Language Models at Duke
Duke University
Image: Duke University
Duke University's Natural Language Processing course, led by Assistant Professor Bhuwan Dhingra, is enhancing student learning with a grant from Thinking Machines Lab. This funding allows students to gain hands-on experience with advanced artificial intelligence tools, specifically in refining large language models.
- 01Duke University received a grant from Thinking Machines Lab for AI education.
- 02Students in the Natural Language Processing course will work with large language models.
- 03The grant provides $250 in computing credits per student for using the Tinker platform.
- 04The program aims to make advanced AI tools more accessible to students and researchers.
- 05Students will apply their learning in practical projects to enhance their skills.
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Duke University's Natural Language Processing course, taught by Assistant Professor Bhuwan Dhingra, is benefiting from a grant provided by Thinking Machines Lab, an AI research company aimed at making advanced AI systems more accessible. This funding, part of the Tinker Research and Teaching Grants program, offers $250 in computing credits per student for courses utilizing the Tinker platform to train and customize large language models. Students in the CS 572 course will gain practical experience by refining AI systems post-training, enhancing their ability to perform specific tasks. The initiative not only supports students but also aims to lower barriers for working with advanced AI tools, preparing the next generation of AI researchers and engineers for the industry.
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This initiative will enhance students' practical skills in AI, making them more competitive in the job market and better prepared for careers in technology.
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