Explore various open-source and commercial AI models, from computer vision to natural language processing, to find the perfect model for your project
Advanced large language model developed by OpenAI, the most sophisticated model in the GPT series with powerful natural language understanding and generation capabilities
Open-source large language model developed by Meta, supporting multiple languages and available in various model sizes
Open-source image generation model developed by Stability AI, capable of generating high-quality images from text descriptions
Real-time object detection model developed by Ultralytics, the latest version in the YOLO series, offering higher accuracy and faster inference speed
Deep residual network proposed by Microsoft Research, solving the vanishing gradient problem in deep neural networks, widely used for image classification tasks
Pre-trained language representation model developed by Google, learning context-dependent word embeddings using bidirectional Transformer structure
Multimodal model developed by OpenAI that can understand the relationship between images and text, widely used for image search and zero-shot image classification
Proximal Policy Optimization algorithm developed by OpenAI, a reinforcement learning algorithm widely used for game AI and robot control
Deep Q-Network developed by DeepMind, combining deep learning with Q-learning, achieving superhuman performance in Atari games