# Supplemental Session on Auto-prompt Optimization

> In this video, Zach provides an overview of the Autoprompt optimization session, where he discusses the key components of Adallflow pipelines, including the system prompt, examples, and input strings. He emphasizes the importance of having a ground truth for effective auto-optimization and explains…

- Web page: https://www.dataexpert.io/lesson/supplemental-session-on-auto-prompt-optimization-jul2025-p737-l1297
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 1: Prompt Engineering & Basic RAG
- Access: Requires enrollment in AIExpert
- Skills: LLMs
- Academy: DataExpert.io Academy

## About this lesson

In this video, Zach provides an overview of the Autoprompt optimization session, where he discusses the key components of Adallflow pipelines, including the system prompt, examples, and input strings. He emphasizes the importance of having a ground truth for effective auto-optimization and explains how we can iteratively improve our system prompts through a structured training process.

## Navigation

- Previous lesson: [Day 2 Lab: Vibe Coding Full Stack application in 45 minutes](https://www.dataexpert.io/lesson/prompt-engineering-day2-lab-jul2025-p737-l1172.md)
- Next lesson: [Day 1 Lecture: RAG Fundamentals and types of RAG](https://www.dataexpert.io/lesson/understanding-rag-lecture-day1-july2025-p737-l1174.md)