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AI for Game Development: Creating a Farming Game in 5 Days. Part 2
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AI for Game Development: Creating a Farming Game in 5 Days. Part 2

Welcome to AI for Game Development! In this series, we'll be using AI tools to create a fully functional farming game in just 5 days. By the end of this series, you will have learned how you can incorporate a variety of AI tools into your game development workflow. I will show you how you can use AI tools for:

  1. Art Style
  2. Game Design
  3. 3D Assets
  4. 2D Assets
  5. Story

Want the quick video version? You can watch it here. Otherwise, if you want the technical details, keep reading!

Note: This tutorial is intended for readers who are familiar with Unity development and C#. If you're new to these technologies, check out the Unity for Beginners series before continuing.

Day 2: Game Design

In Part 1 of this tutorial series, we used AI for Art Style. More specifically, we used Stable Diffusion to generate concept art and develop the visual style of our game.

In this part, we'll be using AI for Game Design. In The Short Version, I'll talk about how I used ChatGPT as a tool to help develop game ideas. But more importantly, what is actually going on here? Keep reading for background on Language Models and their broader Uses in Game Development.

The Short Version

The short version is straightforward: ask ChatGPT for advice, and follow its advice at your own discretion. In the case of the farming game, I asked ChatGPT:

You are a professional game designer, designing a simple farming game. What features are most important to making the farming game fun and engaging?

The answer given includes (summarized):

  1. Variety of crops
  2. A challenging and rewarding progression system
  3. Dynamic and interactive environments
  4. Social and multiplayer features
  5. A strong and immersive story or theme

Given that I only have 5 days, I decided to gray-box the first two points. You can play the result here, and view the source code here.

Language Models

ChatGPT, despite being a major breakthrough in adoption, is an iteration on tech that has existed for a while: language models.

Original source

This story was published by Hugging Face Blog. SyncAI.news shows a preview; the complete article is on the publisher's site.

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