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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 applications like building a social media agent and using Pydantic for defining structured outputs. By the end, you will be equipped with the knowledge to implement structured outputs in your LLM applications, enhancing your ability to develop 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 and methods of structured output generation in AI applications.

This course offers key insights into structured output generation, crucial for scalable software development. It covers essential topics like social media agent development and constrained decoding, making it ideal for software developers and AI enthusiasts looking to advance their skills.

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.
Introduction to Structured Output Generation
Learn the importance of structured outputs and the different approaches to generate them.
How To Use Structured Outputs
Explore the use of structured outputs with code examples.
Retry-based Structured Output
Understand retry-based methods for generating structured outputs.
Structured Generation with Outlines
Learn how to use outlines for structured generation with code examples.
Structured Generation: Beyond JSON
Explore structured generation techniques beyond JSON with code examples.
Conclusion
Summarize the key learnings from the course.
Quiz
Test your understanding of the course material.
Appendix-Tips and Help
Additional tips and help for implementing structured outputs.

Upcoming cohorts

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