Generative Models: 2024's Breakthroughs and 2025's Predictions

This article summarizes the significant advancements in generative models in 2024, covering language models, image generation models, and multimodal models. In language models, decoder-only transformers dominate, with Llama 3 series models standing out, while Mixture-of-Experts models are gaining traction. Image generation is dominated by diffusion models, but autoregressive models show promise. Multimodal models, including visual language models and omni-modal models, have made significant strides, opening up broader possibilities for AI applications. The author predicts trends for 2025, including improved reasoning capabilities, more powerful multimodal models, and more user-friendly interfaces.