---
description: Learn how to use Opik Agent Optimizer with the HotPotQA dataset through
  an interactive notebook, covering setup, configuration, and optimization techniques.
headline: Optimizer introduction | Opik Documentation
og:description: Learn to optimize prompts using Opik Agent on the HotPotQA dataset
  with a hands-on Colab notebook for seamless experimentation.
og:site_name: Opik Documentation
og:title: End-to-End Prompt Optimization with Opik
subtitle: Quick example notebook using HotPotQA dataset
title: Optimizer Introduction Cookbook
---

<Info>
  This example demonstrates end-to-end prompt optimization on the HotPotQA dataset using Opik Agent Optimizer. All
  steps, code, and explanations are provided in the interactive Colab notebook below.
</Info>

<Callout>
  This notebook powers the **Quickstart notebook** entry in the Agent Optimization navigation.
</Callout>

## Load Example Notebook

<Note>
  To follow this example, simply open the Colab notebook below. You can run, modify, and experiment with the workflow
  directly in your browser—no local setup required.
</Note>

| Platform                     | Launch Link |
| ---------------------------- | ----------- |
| **Google Colab (Preferred)** | [<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open in Colab" style="vertical-align: middle; display: inline-block;"/>](https://colab.research.google.com/github/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikOptimizerIntro.ipynb) |
| **GitHub** | [View the notebook on GitHub](https://github.com/comet-ml/opik/blob/main/sdks/opik_optimizer/notebooks/OpikOptimizerIntro.ipynb) |

## What you'll learn

- How to set up Opik Agent Optimizer SDK
- How to setup Opik Cloud (Comet Account) for prompt optimization
- How to use the HotPotQA dataset for multi-hop question answering
- How to define metrics and task configs
- How to run the `FewShotBayesianOptimizer` and interpret results
- How to visualize optimization runs in the Opik UI

## Quick Start

1. Click the Colab badge above to launch the notebook.
2. Follow the step-by-step instructions in the notebook.
3. For more details, see the [Opik Agent Optimizer documentation](/development/optimization-runs/overview).
