August 11, 2026 1 min read

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

Training-Free Alignment of LLMs
Large Language Models
Prompt Engineering
DSPy
AI Alignment

Watch the tutorial segment on Prompt Engineering The video opens at 20:47 in the full NAIRR 2026 tutorial.

NAIRR 2026 Training-Free Alignment tutorial

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.

This notebook was developed and curated by Tommy Cheng for the NAIRR 2026 Training-Free Alignment of LLMs tutorial.