LLMs for Virtual Reality (VR) and Augmented Reality (AR)

• An understanding of VR and AR development basics
• Experience with Python programming
• Familiarity with 3D modeling and animation

Audience

• VR and AR developers
• Game designers
• AI engineers

Virtual Reality (VR) and Augmented Reality (AR) technologies offer immersive platforms for storytelling, education, and interaction. Integrating Large Language Models (LLMs) can enhance these experiences by providing dynamic content generation and natural language interaction.

This instructor-led, live training (online or onsite) is aimed at intermediate-level VR and AR developers, game designers, and AI engineers who wish to incorporate LLMs into VR and AR applications to create more engaging and responsive environments.

By the end of this training, participants will be able to:

• Understand the role of LLMs in creating immersive VR and AR experiences.
• Develop VR and AR applications that utilize LLMs for interactive dialogues and content creation.
• Integrate LLMs with VR and AR development tools for enhanced user engagement.
• Apply best practices for designing AI-driven narratives and interactions in virtual spaces.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to LLMs in VR and AR

• Exploring the potential of LLMs in immersive technologies
• Understanding the basics of LLMs and their capabilities
• Current trends and case studies in LLM-powered VR and AR

Integrating LLMs with VR and AR Development

• Setting up development environments for VR and AR with LLMs
• Designing interactive scenarios with LLM-driven dialogues
• Creating dynamic content and storylines using LLMs

Enhancing User Experience with LLMs

• Personalizing VR and AR experiences with natural language processing
• Implementing voice commands and conversational interfaces
• Measuring and improving user engagement through AI analytics

Best Practices and Ethical Considerations

• Designing inclusive and accessible VR and AR applications
• Addressing ethical concerns in AI-driven virtual environments
• Maintaining user privacy and data security

Hands-on Lab: Creating an LLM-Enhanced VR/AR Project

• Developing a prototype VR or AR application with LLM integration
• Testing interaction and narrative flow with real users
• Gathering feedback and iterating on the design

Summary and Next Steps