Daniel Fried
1 Intel
Daniel Fried is an assistant professor at Carnegie Mellon University's Language Technologies Institute, where his research spans NLP topics including LLM agents, code generation, applied pragmatics, and grounded language understanding. He holds a PhD from UC Berkeley (NLP Group / Berkeley AI Research Lab), an M.Phil. from Cambridge, and a B.S. from the University of Arizona, and previously worked as a postdoctoral researcher at the University of Washington and as a visiting researcher at Facebook AI Research (FAIR).
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Intel
A university course at Carnegie Mellon University focused on building AI agents end-to-end. Students gain hands-on experience constructing agentic harnesses, building evaluations, and training LLMs with reinforcement learning. The course balances theory and practice while covering modern frameworks and best practices.