How ChatGPT and GPT-4 Can Be Used for 3D Content Generation

With ChatGPT, we are now experiencing the <a href="https://stratechery.com/2023/an-interview-with-nvidia-ceo-jensen-huang-about-ais-iphone-moment/" rel="noopener ugc nofollow" target="_blank">iPhone moment of AI</a>, where individuals of all technical levels can interact with an advanced computing platform using everyday language. <a href="https://blogs.nvidia.com/blog/2023/01/26/what-are-large-language-models-used-for/" rel="noopener ugc nofollow" target="_blank">Large language models</a> (LLMs) had been growing increasingly sophisticated, and when a user-friendly interface like ChatGPT made them accessible to everyone, it became the <a href="https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/" rel="noopener ugc nofollow" target="_blank">fastest-growing consumer application in history</a>, surpassing 100 million users just two months after launching. Now, every industry is planning to harness the power of AI for a wide range of applications like drug discovery, autonomous machines, and avatar virtual assistants. Recently, we experimented with OpenAI’s viral ChatGPT and new GPT-4 large multimodal model to show how easy it is to develop custom tools that can rapidly generate 3D objects for virtual worlds in <a href="https://www.nvidia.com/en-us/omniverse/" rel="noopener ugc nofollow" target="_blank">NVIDIA Omniverse</a>. Compared to ChatGPT, GPT-4 marks a “pretty substantial improvement across many dimensions,”  <a href="https://medium.com/@nvidiaomniverse/chatgpt-and-gpt-4-for-3d-content-generation-9cbe5d17ec15">Click Here</a>