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Control LLM’s Output with Ollama: Structured Outputs Made Easy

Learn how to easily harness Ollama’s powerful APIs to generate structured data, enabling seamless integration and automation for your projects.

6 min readDec 9, 2024

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Introduction

Language models have revolutionized how we interact with technology, but controlling their outputs can be challenging, especially when we need structured data. Ollama, a cutting-edge language model platform, can generate structured outputs, ensuring reliability and usability in various applications. Let’s explore how you can harness this power for your projects.

What Are Structured Outputs?

Structured outputs are responses formatted in a predefined structure such as JSON, XML, or specific text templates. These formats make integrating LLM-generated data into systems, applications, or workflows easier. For instance, generating a JSON object instead of free-form text simplifies automation and reduces post-processing efforts.

Examples of structured outputs include:

  • JSON for APIs and databases.
  • HTML for web content.
  • CSV for tabular data.
  • YAML for configuration files.

Why Use Structured Outputs with LLMs?

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🚀 AI Engineer | Data Scientist | Agentic System | MLP, NLP & LLM Enthusiast. Let's connect on AI, data science & innovation!

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Towards AI
Towards AI

Published in Towards AI

We train AI Engineers. We deploy Enterprise AI. Join 100K+ AI practitioners at Towards AI Academy or reach out for help making your company AI native. towardsai.com