AI training model

Baidu's ERNIE Large Model is a multimodal large language model independently developed by Baidu. It supports various tasks such as text, images, audio and video, and has powerful Chinese understanding and generation capabilities. It is free and open source for individuals and enterprises.

DALL·E 3 is a new generation AI text-to-image tool launched by OpenAI. It supports complex commands, high fidelity, and multiple screen ratios, and is widely used in advertising, design, content creation and other fields.

GPT-4 is an advanced multimodal AI model developed by OpenAI. It supports multilingual text and image understanding and generation and is widely used in content creation, programming, automation and other fields.

Shusheng Big Model is an open-source AI training model system developed by the Shanghai Artificial Intelligence Laboratory. It covers multiple industry scenarios such as language processing, multimodal understanding, meteorology and finance, and is free and suitable for scientific research and industrial applications.

Tencent Hunyuan Big Model is a general-purpose AI model platform developed by Tencent. It has powerful Chinese understanding, dialogue, content generation and multimodal intelligence capabilities, and is suitable for enterprise, developer and individual innovative applications.

Doubao Big Model is a full-featured AI training model platform launched by Volcano Engine under ByteDance. It supports text, image, and speech generation and understanding, is compatible with mainstream development interfaces, and is suitable for intelligent applications in multiple industries.

Gemma is an open, lightweight, and multimodal AI model platform launched by Google. It is designed for developers and enterprises, supports text and image generation, is easy to integrate and customize, and is suitable for the development of various AI applications.

Llama 3 is a new generation of open-source large language model platform launched by Meta. It features multilingual, multimodal, and highly extensible characteristics, making it suitable for AI applications in scientific research, development, and enterprises across multiple scenarios.

Wujie Future is a one-stop platform for AI developers and enterprises for large-scale model training, inference, and elastic computing networks, supporting efficient deployment of AI applications across multiple scenarios.

Ollama is a large language model management and execution platform that supports multiple platforms and offline deployment. It can run mainstream AI models with a simple one-click operation, achieving local privacy protection and flexible model calling.