Reinforcement learning has seen significant success in recent years, but its low sample efficiency limits its application in the real world. World models, as a type of environment generation model, offer hope for addressing this issue. They can serve as simulated environments to train reinforcement learning agents with higher sample efficiency. Currently, most world models simulate environment dynamics through discrete latent variable sequences. However, this method of compressing into a compact discrete representation may overlook visual details that are critical for reinforcement learning. Meanwhile, diffusion models have become prominent in the field of image generation.

Recently, researchers developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate the popular computer game Counter-Strike: Global Offensive (CS:GO) within a neural network. This model runs on a single Nvidia RTX 3090 graphics card, achieving a speed of 10 frames per second. Although the frame rate is not very high, this achievement is still impressive in the field of AI simulation. DIAMOND's training

A remarkable breakthrough in AI has recently garnered widespread attention in the gaming and tech communities. A research team has successfully developed an AI model named DIAMOND (Diffusion for World Modelling) that can simulate a simplified version of Counter-Strike: Global Offensive (CS:GO) within a neural network. This innovative achievement not only showcases the tremendous potential of AI in the field of game simulation but also provides new ideas for constructing future virtual worlds. One significant feature of the DIAMOND model...

Not Diamond is an innovative AI model router designed to automatically determine the most suitable LLM for responding to specific queries. By combining multiple LLMs into a meta-model and learning when to invoke each model, Not Diamond significantly improves processing efficiency while ensuring high-quality responses. This automated intelligent routing mechanism reduces the time needed for manual model selection, ensuring optimized responses for every query. Key features of Not Diamond include multi-model support, high