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DeepLearning.AI

Getting Structured LLM Output

  • up to 1 hour
  • Intermediate

This course provides an in-depth understanding of structured output generation, essential for scalable software development. Learn to build a social media agent and explore various approaches to generating structured outputs, enhancing your skills in AI applications.

  • Structured output generation
  • Social media agent development
  • Constrained decoding
  • Pydantic
  • OpenAI API

Overview

In this course, you will gain a comprehensive understanding of structured outputs and their significance in software development. You will learn to generate structured outputs using APIs, re-prompting libraries, and constrained decoding. The course includes practical exercises like building a social media agent and using Pydantic for defining structured outputs. By the end, you'll be equipped with the skills to implement structured outputs in your LLM applications, enhancing your ability to create scalable and efficient software solutions.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Software Developers

Professionals looking to enhance their skills in generating structured outputs for scalable software development.

Data Scientists

Individuals interested in learning how to convert natural language into programmable data using structured outputs.

AI Enthusiasts

Learners who want to understand the importance of structured outputs in AI applications and how to implement them.

This course offers key insights into structured output generation, crucial for scalable software development. It covers essential skills like using APIs, re-prompting libraries, and constrained decoding, making it ideal for developers and data scientists aiming to enhance their AI applications.

Pre-Requisites

1 / 3

  • Familiarity with Python

  • Basic knowledge of LLM prompting

  • Experience in LLM application development

What will you learn?

Introduction
An overview of the course and its objectives, setting the stage for learning structured output generation.
Introduction to Structured Output Generation
Learn the importance of structured outputs and the different approaches to generating them.
How To Use Structured Outputs
Explore practical examples of using structured outputs in software development.
Retry-based Structured Output
Understand the concept of retry-based structured output and its applications.
Structured Generation with Outlines
Learn how to use outlines for structured generation and modify LLM logits for desired output.
Structured Generation: Beyond JSON
Explore advanced structured generation techniques beyond JSON, including regular expressions and finite-state machines.
Conclusion
Summarize the key learnings and outcomes of the course.
Quiz
Test your understanding of the course material with a short quiz.
Appendix-Tips and Help
Additional resources and tips to help you succeed in generating structured outputs.

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