Building LLM-Based Applications Using Instructor

Course Category: Generative AI

Course Description

I recently started using Instructor to build LLM-based applications. It is a Python package that patches foundation model API clients and allows the generation of structured outputs. You can define the structure of the output you want, and Instructor handles the internal logic to ensure you actually get a response that matches that. That's all you need to know for now; I will go over the details of how it works internally afterwards.

Right from the start, what I like about the Instructor library is its ease of use. From the beginning, you know what the library is for, and frankly, there is no unnecessary abstraction to obscure its operation. It's simple, clear, refreshing. One feels free using Instructor. In contrast, every time I have to use LangChain, I feel like I get headaches given the complexity of the bloated library it has become with abstractions everywhere, which are often not strictly necessary in my opinion.

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Course Chapters

1. Introduction - Data Extraction

   • Status: Free
   • Publication Status: Published
   • Description: An overview of extracting data using LLMs with Instructor.

2. Synthetic Data Generation

   • Status: Published
   • Description: Learn how to generate synthetic data using Instructor for various applications.

3. Classification

   • Status: Published
   • Description: Implement classification tasks using LLMs with the Instructor library.

4. AI Agents

   • Status: Published
   • Description: Build AI agents that can perform complex tasks using Instructor.

5. AI Financial Analyst

   • Status: Published
   • Description: Create an AI financial analyst with LLMs and Instructor.

6. Knowledge Graph

   • Status: Published
   • Description: Explore building knowledge graphs with LLMs using Instructor.

7. AI Chess Agent

   • Status: Published
   • Description: Develop a chess-playing AI using Instructor.

8. Logical Reasoner

   • Status: Published
   • Description: Build a logical reasoning AI using the structured output capabilities of Instructor.

This course is perfect for developers and AI enthusiasts who want to explore the power of LLMs with a tool that simplifies the process and maximizes output control. Whether you're new to AI development or an experienced practitioner, you'll find value in the practical and straightforward approach that Instructor offers.

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