The text provides an overview of several innovative technologies across different fields of artificial intelligence and computer graphics, highlighting their objectives, challenges, methodologies, and outcomes. The first section discusses a real-time radiance field rendering technique using 3D Gaussian splatting, which aims to achieve high-quality rendering at real-time speeds by utilizing anisotropic 3D Gaussians and GPU-based algorithms. The second section introduces Nougat, a neural optical understanding tool designed to enhance the accessibility of scientific documents by accurately converting PDFs into machine-readable formats without traditional OCR, demonstrating superior performance in handling mathematical expressions. The third section describes GigaGAN, a scalable GAN-based model for text-to-image synthesis, which achieves remarkable speed and quality in generating high-resolution images while allowing fine-grained control over the generative process. The fourth section focuses on Code Llama, a specialized language model for code generation, which outperforms existing models on several benchmarks by leveraging extended training on code-specific datasets. Finally, the text introduces FaceChain, a personalized portrait generation framework that combines LoRA models with Stable Diffusion to maintain identity characteristics and stylistic elements in generated images, showcasing its effectiveness in preserving identity while allowing stylistic control. Each project includes links to their respective GitHub repositories for code access.