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The launch of GPT Chat at the end of 2022 caused an earthquake in the technology sector, triggering a wave of experiments around major language models (LLMs). At the same time, immersive technologies such as virtual reality (VR) and augmented reality (AR) have sometimes been relegated to the sidelines in the face of the craze for generative artificial intelligence (AI Gen). However, these two areas are not antagonistic. On the contrary, they complement each other, opening up new possibilities.
Generative artificial intelligence can be divided into two main categories :
✅ Language models (Large Language Models or LLM): These allow you to interact with a system in natural language as if you were interacting with a person. These models form the basis of new conversational assistants such as GPT (OpenAI), Gemini (Google), LLama (Meta) and Claude (Anthropic).
✅ Dissemination models are used to generate visual content, such as images, videos and sounds, and rely on vast data sets. Examples include DALL-E (OpenAI), Imagen (Google), and Stable Diffusion (Stability AI).
Generative AI is often a technological component integrated into more complex solutions that combine other forms of AI, such as image recognition, predictive analysis and classification.
Its business applications are numerous :
🔹 Advanced conversational interfaces: Generative AI facilitates interactions with complex systems. For example, Veolia uses it to help communities analyse data from water treatment plants and waste sorting centres.
🔹Documentary research and summarisation: It allows you to quickly extract information from vast databases, especially useful for legal, financial and HR departments.
🔹 Developer support: Language models help with code generation and automating repetitive tasks.
🔹Improved customer service: Chatbots of the new generation offer finer, more personalised assistance, both written and oral.
While generative AI facilitates human-computer interaction through language, XR (eXtended Reality) achieves the same through space and immersive interactions. Here's how these two technologies work together and reinforce each other:
🔹 Conversational interfaces in XR: Meta is considering integrating a smart voice assistant into its future augmented reality glasses. What is the objective? To create a natural and intuitive voice interface.
🔹 Real-time training and support: Technicians in the industry can interact with XR assistance systems that are controlled by generative AI. This gives them instant access to the right information, eliminating the need to manipulate a touchscreen or keyboard.
🔹 Generating VR/AR content: AI can create dynamic virtual environments adapted to the user's specific needs. For instance, an industrial maintenance trainer could create personalised learning scenarios in just a few clicks.
🔹 Optimising collaborative sessions: In the aeronautical and automotive industries, design reviews in mixed reality are enriched by AI that generates detailed reports, discussions and decisions in real time.
The use of these synergies is not limited to research and development. There are already numerous solutions that exploit these synergies.
✅ Industrial training in virtual and augmented reality: Generative AI adapts teaching scenarios according to learners' needs and levels.
✅ Maintenance support: Visual recognition and AI conversational technology enable operators to receive detailed instructions in real time without interrupting their work.
✅ Augmented immersive collaboration: During VR meetings, an AI assistant can summarise discussions and automatically generate task lists.
The integration of generative AI and immersive technologies is already underway and is set to transform numerous sectors.
