Model Training

Lightning AI是由PyTorch Lightning团队推出的全功能AI开发平台，提供从模型开发、训练到部署的完整工具链，简化AI开发流程，优化云成本，并降低风险。

SenseChat, developed by SenseTime, is an AI chat assistant based on the self-developed 'SenseNova' model, offering multi-turn conversations, logical reasoning, language correction, content creation, and more, catering to the needs of Gen Z and internet users for intelligence, convenience, and efficiency.

Modelers Community, co-developed by Tianyi Cloud and Huawei, offers diverse services such as model hosting, dataset management, and online experiences, empowering AI developers for efficient innovation.

StableLM是由Stability AI推出的开源大语言模型系列，旨在提供高效、透明且可访问的AI技术，支持文本和代码生成等多种应用。

ColossalChat, developed by Colossal-AI, is a free open-source chatbot based on the LLaMA pre-trained model, utilizing a complete RLHF mechanism to offer robust bilingual conversation capabilities in English and Chinese, ideal for developers and AI enthusiasts.

Jan is a free and open-source AI chat tool that supports running over 20 large models, including LLaMa, Mistral, and Phi-2, locally on Windows, Mac, and Linux systems. It offers a user-friendly chat interface and a built-in API server, catering to developers and AI enthusiasts.

Coze is an all-in-one AI development platform launched by ByteDance, enabling users to create AI robots without coding in 30 seconds. It integrates over 60 plugins covering areas like news reading and travel planning, making it suitable for users without programming experience to quickly create and deploy AI applications.

Ollama is an open-source tool designed to simplify the deployment and operation of large language models (LLMs) on local devices. It supports various models, including Llama 3.3, DeepSeek-R1, Qwen 3, and is compatible with macOS, Linux, and Windows systems, catering to developers and AI enthusiasts.

Cohere is a Canadian technology company founded in 2019, specializing in providing large language models for enterprises. Its platform offers services such as multilingual embeddings, semantic search, text generation, and classification, enabling businesses to rapidly deploy conversational AI, generative search engines, and text summarization applications. Cohere emphasizes data security and privacy protection, supporting various deployment options to meet diverse enterprise needs.

PaddlePaddle is an open-source deep learning platform developed by Baidu, integrating core frameworks, model libraries, development kits, and tool components. It is widely used in industries such as manufacturing, agriculture, and enterprise services, serving over 10.7 million developers and 235,000 enterprises.

Apache MXNet is an open-source deep learning framework supporting multiple programming languages and devices, offering flexible programming models and efficient distributed training capabilities.

Hugging Face has released BLOOM, a 176 billion parameter multilingual large language model supporting 46 natural languages and 13 programming languages, aiming to advance open research and applications in artificial intelligence.

BLOOM是由Hugging Face主导的BigScience项目推出的开源大型语言模型，拥有1760亿参数，支持46种自然语言和13种编程语言，旨在为全球AI研究者提供强大的多语言处理能力。

DeepSpeed is an open-source deep learning optimization library by Microsoft, designed to reduce computational resources and memory usage, offering efficient distributed model training, especially suitable for large-scale language model training.

TensorFlow is an open-source machine learning framework developed by Google's Brain Team, offering a complete toolchain from research to production, supporting multi-platform deployment, and empowering developers to build efficient AI applications.

DALL·E 3是OpenAI推出的最新文本到图像生成模型，原生集成于ChatGPT，显著提升了语义理解和细节优化能力，降低了提示词门槛，为用户提供更高质量的图像生成体验。

Caffe is an open-source deep learning framework developed by the University of California, Berkeley, known for its efficiency, flexibility, and modular design, widely used in image classification, speech recognition, and other fields.

Coze是字节跳动推出的一站式AI开发平台，支持用户在30秒内无代码生成AI聊天机器人，并集成了超过60种插件，覆盖新闻阅读、旅行规划等多个领域。

Label Studio, developed by Human Signal (formerly Heartex), is a free open-source data labeling tool supporting various data types, offering flexible configurations and machine learning assistance, enabling developers to efficiently fine-tune large language models, prepare training data, or validate AI models.

Hugging Face是一个领先的人工智能社区和平台，提供丰富的预训练模型、数据集和开发工具，助力开发者和研究人员轻松构建和部署各种AI应用。

PaLM 2 is Google's latest generation large language model introduced in 2023, featuring enhanced capabilities in multilingual processing, reasoning, and programming, aiming to provide users with a more intelligent and efficient AI experience.

MindSpore, developed by Huawei, is an all-scenario AI framework offering user-friendly APIs and efficient execution, supporting deployment across cloud, edge, and device environments, empowering developers to efficiently build deep learning models.

Meta最新发布的Segment Anything Model 2（SAM 2）是一款能够实时分割图像和视频中任意对象的AI模型，显著提升了视频编辑和混合现实体验。

Keras is an open-source deep learning API written in Python, designed to simplify the construction and training of neural networks. Its user-friendly design, modular structure, and multi-backend support enable developers to efficiently develop and deploy deep learning models.

怪兽AI提供零代码企业知识库搭建、智能客服和AI写作等功能，支持多平台集成，助力企业高效管理知识资产。

Gradio is an open-source Python library designed to help developers quickly create user-friendly web interfaces for machine learning models, enabling anyone to interact with them anytime, anywhere. Its simple API and powerful features make it an ideal tool for showcasing and sharing machine learning applications.

Ollama是一款开源工具，支持在macOS、Linux和Windows系统上本地运行DeepSeek-R1、Qwen 3、Llama 3.3等大型语言模型，提供高效、便捷的AI体验。

Infini-AI offers a heterogeneous cloud platform supporting various models and chips, enabling developers to train and deploy large models cost-effectively.

CuspAI is an AI-driven material search engine launched by the University of Cambridge. Utilizing generative AI technology, it rapidly generates and evaluates potential molecular structures based on user-defined material properties, significantly accelerating the discovery of new materials. In June 2024, CuspAI completed a $30 million seed funding round, focusing on developing new materials for carbon capture and storage to support global carbon neutrality goals.

Gemma is a series of lightweight open AI models developed by Google DeepMind and other teams, designed to assist developers and researchers in building responsible AI applications. The series includes models of two scales: Gemma 2B and Gemma 7B, offering both pre-trained and instruction-tuned versions, supporting multiple frameworks such as JAX, PyTorch, and TensorFlow, and capable of efficient operation across various devices.