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Game Development Course with AI

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["Overview of ML for Games Course"]
Overview of ML for Games Course
By Fodev JEO 2 min read
SubjectTypeLink  
ML For Games CourseCoursehttps://huggingface.co/learn/ml-games-course/unit0/introduction  
<!–AI Playbook for Game DevelopersTutorialhttps://thomassimonini.substack.com/–>
AI in Game (creator : Thomas Simonini)Videohttps://www.youtube.com/c/ThomasSimonini  
 Twitterhttps://twitter.com/ThomasSimonini  
 LinkedInhttps://www.linkedin.com/in/simoninithomas/?locale=en_US  

** Large Language Models and Games: A Survey and Roadmap : https://arxiv.org/pdf/2402.18659

And more ( Check, Contributors and reviewers ): https://huggingface.co/learn/ml-games-course/unit0/who-are-we

Introduction

Curiosity: What happens when we combine the storytelling power of LLMs with interactive game worlds? How can AI transform NPCs from scripted entities into dynamic characters that adapt to player choices?

This course answers these questions by retrieving insights from cutting-edge AI research and game design principles, then innovating on how we build game experiences.

In this course, you will:

  • 🤖 Learn to use powerful chat models to build intelligent NPC.
    • Retrieve: Understanding how LLMs can generate contextual dialogue and behavior
    • Innovate: Creating NPCs that feel alive and responsive
  • 🪄 Run these powerful AI models locally or with cloud APIs.
    • Curiosity: What’s the trade-off between local control and cloud scalability?
    • Retrieve: Exploring deployment strategies and their implications
  • 🎨 Use AI tools to accelerate your game development: generate voices with text-to-speech models using image generation tools…
    • Innovate: Building entire content pipelines powered by AI
  • 🎮 Work on exciting game demos.
    • Retrieve: Learning from real-world implementations and case studies
  • 👩‍🎨 Build Your Own Game Demo.
    • Innovation: Turning curiosity into a playable prototype
Application Conditions

Here are the criteria for validating the game demo:

  • Have a team from 1 to 5 teammates.
  • Have a working demo that can run either on WEBGL or Windows.
  • The demo and application must be in English.
  • The game must use at least one open-source tool as part of the game or workflow.
More Learning

ML for Games Tools

Discord Channel

Here’s all the ML for Game Development channels:

  • ml-4-games-course-announcements : where we give the latest information about the course.
  • ml-4-games-course-announcements-study-group: where you can ask questions and exchange with your classmates.
  • ml-4-games-dev: where you can exchange about ML for games development.
  • ml-4-games-searching-for-team: where you can search for a team if you want to build demos in the team.
  • ml-4-games-i-made-this: where you can share your projects and models.

Conclusion

Congratulations on finishing this introduction unit!

You’re now ready to start your exciting journey of using machine learning in games 🥳

The AI of Dark Souls

Article : https://www.aiandgames.com/p/the-ai-of-dark-souls?utm_source=post-email-title&publication_id=1069672&post_id=144527115&utm_campaign=email-post-title&isFreemail=true&r=28moe0&triedRedirect=true&utm_medium=email

  • Exploring the AI of Dark Souls : AI and Games #75
  • Prepare to Die by Simple AI - Dark Souls and Difficulty : Design Dive
  • The Secret Reward Systems of Dark Souls II : Design Dive
LLM, Game
LLM Game AI Unity
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