Craft an AutoGPT Code Generation AI Instrument Leveraging Rust and GPT-4

Video description

In this course, we will embark on an exciting journey to master Rust programming from zero to hero, while leveraging the cutting-edge GPT-4 (ChatGPT) to build our very own AutoGPT agent, named “Auto-Gippity”.

Starting with a Rust crash course, you will learn the language inside out, progressing from basic concepts to intermediate and advanced topics. We will explore Rust installation, creating projects, functions, and more. This strong Rust foundation will set the stage for our AutoGPT project.

Next, we will dive into the heart of the course. We will develop a web server template using Actix Web in Rust, integrating AI functions to write, test, and optimize code. Our AutoGPT agent, “Gippity”, will amaze you by accepting tasks, breaking them down, and delegating them to specialized agents. We will create agents such as the Solutions Architect, Backend Developer, and more, each with unique roles to enhance Gippity’s capabilities.

Finally, we will put Gippity to the test. We will perform comprehensive evaluations, including human reviews, to ensure the accuracy and reliability of the code it generates. We will explore overcoming limitations and discuss the next steps for our AutoGPT project, leaving you with a clear roadmap to continue your AI and Rust journey.

By the end of this course, you will be a proficient Rust programmer with an in-depth understanding of AI integration.

What You Will Learn

  • Build a fully functional web server using Actix Web framework in Rust
  • Create an AutoGPT agent “Auto-Gippity” to generate, test, and optimize code
  • Implement AI functions for precise responses from large-language-models
  • Understand Rust’s memory management and performance advantages
  • Explore the creation of specialized AutoGPT agents for various tasks
  • Master unit testing, error handling, and lifetimes in Rust

Audience

This course is designed for intermediate programmers looking to enhance their programming skills and venture into the world of Rust and AI-driven code generation. If you have a passion for cutting-edge technologies and a desire to build powerful automation tools, this course is for you.

To make the most of this course, you should have a basic understanding of programming concepts and be able to program in another language. Familiarity with concepts such as for loops, if statements, and functions is essential, as we will dive straight into Rust programming. Additionally, access to the OpenAI GPT-4 API is required.

About The Author

XCHAIN ANALYTICS LTD: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.

Table of contents

  1. Chapter 1 : Introduction
    1. Course Introduction
    2. What We Are Building
    3. Programming Experience Required
    4. About Your Instructor
    5. Discord Group
    6. Getting Access to GPT-4
    7. AI Functions and LLM Limitations
    8. Course Structure Overview
  2. Chapter 2 : Rust Crash Course - Learning the Rust Environment
    1. Rust Installation - Quick Walkthrough
    2. About Rustup
    3. Preparing Visual Studio Code
    4. Cargo New - Your First Rust Project
    5. Your First Rust Function
    6. A Brief Programming Language Comparison
    7. Structuring Project Modules - Brief Introduction
    8. Unit Testing with Cargo
    9. Create Docs with Cargo
    10. Creating a Rust Library
    11. Dead Code and Unused Variables
  3. Chapter 3 : Rust Crash Course - Types and Memory Management
    1. Rust Versus Other Languages Revisited
    2. Integer Types
    3. Data Type Cheatsheet
    4. Stack Versus Heap Introduction
    5. Stack Deep Dive
    6. Stack Versus Heap Walkthrough
    7. String Literals and Static (Read-Only) Memory
    8. Ownership and Borrowing - Immutable References
    9. Ownership and Borrowing - Mutable References
    10. Ownership and Borrowing - Dereferencing
    11. About Scope
  4. Chapter 4 : Rust Crash Course - Basics
    1. Introduction - Create Project
    2. Fixed-Size Variables
    3. Dynamic-Sized Variables
    4. Basic Collections
    5. Closures
    6. Number Literals and Raw Strings
    7. Working Low Level with Binary
    8. Rust Std Library
  5. Chapter 5 : Rust Crash Course - Intermediate
    1. Introduction - Create Module
    2. Enums - Your First Enum
    3. Enums - Result Enum with Generics Introduction
    4. Enums - Option Enum with Some or None
    5. Rusts Result and Option
    6. Structs - Your First Struct
    7. Structs - Using Type Impl
    8. Traits Introduction
    9. Polymorphism with Traits and Generics
    10. Lifetimes - Introduction
    11. Lifetimes - Generics and Structs
    12. Pattern Matching - Integer, Option, and Result
    13. Pattern Matching - Mixed Data Enum
    14. Pattern Matching - Match Guards and Structs
    15. Your First Async API Call
    16. Handling Errors
    17. Collections Revisited - HashMaps and HashSets
    18. Project Cleanup
  6. Chapter 6 : Rust Crash Course - Advanced
    1. Declarative Macros - Introduction
    2. Declarative Macros - With Repetitions
    3. Procedural Macros (Theory) - Introduction to Derive
    4. Procedural Macros (Theory) – Function-Like Macro
    5. Procedural Macros (Theory) – Attribute-Like Macro
    6. Procedural Macros (Practice) - Building an AI Function
    7. Smart Pointers - Box
    8. Smart Pointers - Reference Counting with RefCell
    9. Smart Pointers - Reference Counting with Weak
    10. Rust Concurrency with Mutex and Arc
    11. Publish Packages to Crates
  7. Chapter 7 : Build Web Server Template - First Project
    1. Theory - Introduction to Web Servers and Actix Web
    2. Theory - Actix Web REST API Docs Walkthrough
    3. Project Setup
    4. Struct Definitions
    5. Database Implementation
    6. Creating AppState with Mutex Provided Safety
    7. Writing Our Initial Web Server
    8. Testing Create Task Rest API Endpoint with Postman
    9. Create and Test GET Task Request
    10. Complete Task CRUD
    11. User Registration and Login
    12. Mutation Adjustment
    13. Next Steps
  8. Chapter 8 : AutoGPT Project - Supporting Functions
    1. Supporting Functions - Section Introduction
    2. Project Setup
    3. User Interaction with Command Line
    4. Extract API Keys
    5. OpenAI Call - Key Provisions
    6. OpenAI Call - Create Client
    7. OpenAI Call - Test API Call
    8. OpenAI Call - Error Handling
    9. OpenAI Call - Completion
    10. Extract AI Functions
    11. Extend AI Function
    12. Print Agent Activity to Command Line
    13. AI Task Function
    14. AI Task Function Decoded
    15. API Endpoint Valid Check Function
    16. File Read and Write Functions
  9. Chapter 9 : Auto GPT Project - Create Agents
    1. Create Agents - Section Introduction
    2. Basic Agent - Create Basic Agent
    3. Managing Agent - FactSheet Struct
    4. Managing Agent - Special Functions Trait
    5. Solutions Architect - Call Project Scope
    6. Solutions Architect - Call External URLs
    7. Solutions Architect - Handle Discovery State
    8. Solutions Architect - Write Test for Checking URLs
    9. Solutions Agent - Full Agent Test
    10. Managing Agent - Create New
    11. Managing Agent - Execute Project Fn
    12. Managing Agent - Initial Agent Test
    13. Backend Developer - Write and Improve Code Fn
    14. Backend Developer - Fix Code Bugs Fn
    15. Backend Developer - Rest API Endpoints Fn
    16. Backend Developer - Discovery and Working States
    17. Backend Developer - Initial Agent Test
    18. Backend Developer - Ensure AI Safety Human Check
    19. Backend Developer - Write Automated Cargo Build
    20. Backend Developer - Write Automated Cargo Run
    21. Backend Developer - Write Automated Endpoint Testing
    22. Backend Developer - Unit Testing Agents Unit Tests
    23. Backend Developer - Testing Code Rewrites
  10. Chapter 10 : Auto GPT Project - Finalize Agent Gippity
    1. Performing First Complete Agent Test (External URL-Based)
    2. Performing First Test - Human Review
    3. Performing Second Test (Tracking CRUD-Based)
    4. Performing Third Test (Hangman Game Build)
    5. Performing Third Test - Human Review
    6. Considerations on Overcoming Limitations
    7. Congratulations!

Product information

  • Title: Craft an AutoGPT Code Generation AI Instrument Leveraging Rust and GPT-4
  • Author(s): XCHAIN ANALYTICS LTD
  • Release date: August 2023
  • Publisher(s): Packt Publishing
  • ISBN: 9781835085417