Francisco Angulo de Lafuente

NVIDIA and LlamaIndex Developer Contest https://developer.nvidia.com/llamaind... Winners Francisco Angulo de Lafuente Project Name: Enhanced Unified Holographic Neural Network (EUHNN) Using Raytracing and CUDA EUHNN pushes the boundaries of AI by pioneering a novel architecture inspired by the principles of optical computing and holographic memory. Video Link GitHub Link: https://github.com/Agnuxo1/Unified-Ho... Social Link: https://x.com/Francisco_Ecofa/status/... Oleksandr Arsentiev Project Name: RetainAI RetainAI crafts customized employee retention strategies, empowering companies to minimize turnover, enhance engagement, and retain their top performers. Video Link: • RetainAI - Demo GitHub Link: https://github.com/arsentievalex/reta... Social Link: https://x.com/alexarsentiev/status/18... Matthew Williamson Project Name: Plotomatic Plotomatic is a collection of python notebooks that let you start with one prompt and generate a full story. Video Link: • Plotomatic AI Story Generator GitHub Link: https://github.com/mattwilliamson/Plo... The Enhanced Unified Holographic Neural Network (EUHNN) pushes the boundaries of AI by pioneering a novel architecture inspired by the principles of optical computing and holographic memory. Leveraging NVIDIA's cutting-edge technologies like Ray Tracing, CUDA, and RTX, EUHNN simulates the behavior of light within a virtual optical neural network, enabling highly parallel and efficient computations. This approach addresses limitations of traditional AI by simulating the propagation of light and its interaction with holographic memory elements, mimicking the efficiency and associative properties of optical systems. EUHNN features real-time learning, P2P knowledge sharing via WebRTC, and integration with external LLMs for enhanced text generation. The project showcases the potential of combining AI, holographic memory, and NVIDIA's powerful hardware and software for creating more efficient, scalable, and adaptable AI models. https://github.com/Agnuxo1/Unified-Ho... https://github.com/Agnuxo1 https://github.com/Agnuxo1/NEBULA https://github.com/Agnuxo1/NEBULA-EVO... https://github.com/Agnuxo1/Holography... https://github.com/Agnuxo1/Neural-Net... https://github.com/Agnuxo1/Holographi... https://github.com/Agnuxo1/Light-Base... https://github.com/Agnuxo1/Holographi... https://github.com/Agnuxo1/Unified-Ho... https://www.researchgate.net/profile/... What is this? A stellar nebula? No, it's something even more revolutionary. What you're seeing is NEBULA, a new neural network architecture based on optical physics, simulated with CUDA and Raytracing. This innovation allows RTX GPUs to accelerate and make large language models (LLMs) more efficient. With NEBULA, we not only achieve greater energy efficiency, but we also provide models with extended memory. Imagine being able to instantly store and read all the network parameters using a holographic system.