Open Model

Open models, encompassing open-source large language models (LLMs) and other generative AI, aim to foster transparency, reproducibility, and accessibility in artificial intelligence research and applications. Current research focuses on improving model performance across diverse tasks (including image generation, translation, and reasoning) through techniques like instruction tuning, model merging, and advanced prompt engineering, often employing architectures such as Mixture-of-Experts. The availability of open models facilitates broader participation in AI development, enabling independent verification, ethical scrutiny, and the creation of specialized models for various domains, particularly in resource-constrained settings.