#AI model

VirtualWife is a digital human project that supports Docker deployment and multiple operating systems, providing customizable roles with memory support. It features Chinese voice interaction and data streaming for a responsive experience, making it ideal as a relationship advisor.

Skywork is a series of large open-source models developed by the Tiangong team at Kunlun Wanwei Group, available for commercial applications under specific protocols. Models include Skywork-13B Base, trained on a vast dataset of multilingual and code data, showing top performance in benchmarks. Skywork-13B Chat is designed for enhanced dialogue, perfect for creativity tasks, while Skywork-13B Math excels in mathematical evaluations. Skywork-13B MM supports multimodal data input. The Skypile-150B dataset is the largest open-source Chinese dataset, aiding the study of models and AGI advancements with detailed technical data in the tech report.

MNN is an advanced deep learning framework designed for efficient and lightweight on-device training and inference. Integrated into over 30 Alibaba applications, it supports various scenarios from live broadcasts to security controls across mobile and IoT devices. Known for its high inference speed, MNN is a key component in the Walle system, recognized at OSDI'22. Its architecture supports a variety of neural network models, leveraging optimized assembly code for enhanced performance. Learn more about MNN's role in device-cloud collaborative machine learning.

This API facilitates integration with iFLYTEK's Xinghuo Model, offering Web and API modes with support for versions such as v3.5 and v3.0. It enables interaction using credentials like app_id and api_key, suitable for developers aiming to incorporate sophisticated language models in applications.

YAYI leverages refined domain-specific training data to enhance capabilities across media, sentiment analysis, security, finance, and governance. Its continuous development includes input from user feedback, improving its proficiency in Chinese language and analytics. By contributing to the open-source community, YAYI supports the evolution of Chinese AI models. The integration of these features in the latest LLaMA 2 optimized release provides valuable insights for diverse applications, fostering community-driven innovation and reliable performance.

Clay Foundation Model provides an open-source AI solution for Earth, enabling efficient integration with JupyterLab, Binder, and SageMaker Studio Lab. It supports straightforward installation through Mamba and offers detailed documentation. The model leverages LightningCLI for improved training and supports both Linux and macOS. The project welcomes contributions with clear documentation guidelines via Jupyter Book.

Discover an extensive range of software and resources for the Stable Diffusion AI model, including GUIs, CLI installations, and maintained forks. This collection embraces official releases, complementary models, and training guides across various platforms, facilitating easy installation and operation. Enhancements like inpainting, outpainting, and task chaining are supported, with guidance on prompt building to fully leverage the model's capabilities.