I finally found some time to start watching the new series of short LLM courses by Andrew Ng. To keep myself motivated and on track with my learning, I will be sharing my study notes over this period, aiming to make progress together with everyone! 🤗
Try to create a silicon-based creature atlas animation using the method of artificial evolution guidance + GPT4/chatGLM + stable diffusion / Midjourney + Runway GEN2. It feels like AI can create the world from scratch now! 🥰
This is a super hardcore long article about AI + architecture + creation. I would like to thank Hua Jie, Xiao Gang, Zhang Wanlin, and other global knowledge-sharing friends for their efforts. Through the enlightening Q&A, I have learned a lot myself (resulting in a hardcore and systematic article).
This is the only non-technical article I've written this year, yet it’s the most important one, as it addresses the most crucial question in the age of AI: how to maintain self-coherence.
My work "The Non-human City Driven by AI and Ecological Environment" will be featured in an exciting exhibition—potenziale 3—within the sub-unit "Bio Lab: Living Space." This is an interdisciplinary research laboratory aimed at rethinking how we coexist with the environment.
Try creating an animation of silicon-based lifeforms using a combination of artificial evolution guidance, GPT-4/ChatGLM, Stable Diffusion/Midjourney, and Runway GEN2. It feels like we can create worlds from scratch with AI!
The issues surrounding 3D generation are nearing resolution, but the reasonable placement and distribution of generated 3D objects have now become a new challenge.
I, a programming novice, have created a parallel space-time portal called GaussianSpace, a tool that allows users to guide the editing of three-dimensional Gaussian splatting (3D Gaussian Splatting) in large scenes using text. 🐶
