Prompt Engineering for Training-Free Alignment of LLMs

A hands-on DSPy tutorial for programmatic prompt design, evaluation, and optimization with MIPROv2.

Authors: Son The Nguyen, Tommy Cheng, Theja Tulabandhula

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Prompt Engineering · starts at 20:47

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This hands-on tutorial introduces programmatic prompt engineering with DSPy, from hosting a local language model to defining signatures and modules, evaluating a reasoning pipeline, and optimizing it with MIPROv2.

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Son The Nguyen

Author & curator

Son The Nguyen

AI/ML Researcher
PhD Candidate in MIS at UIC

Son The Nguyen is a PhD candidate in Management Information Systems (MIS) at the University of Illinois Chicago, advised by Professor Theja Tulabandhula. His research applies optimization and machine-learning techniques to enhance large language models and agentic AI, with a focus on data quality, alignment, controllability, and reasoning.

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