Search results for "demo"

Skywork is an AI agent platform under Kunlun Tech that integrates SkyClaw-v1.0 (an agent model supporting a million-token context window), the visual canvas Skywork Design, and Dynamic Workflows for parallel multi-agent scheduling. The platform covers the entire workflow—from research, design, and code generation to deployment—and the annual recurring revenue (ARR) from its AI-native business has surpassed $800 million.

2026-07-11

ModelScope is a leading open-source AI model platform in China, initiated by Alibaba DAMO Academy in conjunction with the CCF Open Source Development Committee. Adhering to the "Model as a Service" (MaaS) concept, the community has gathered over 200,000 open-source models, 30 million developers, and over 500 contributing organizations. It provides end-to-end services from model experience, download, fine-tuning, training to deployment, covering LLM, multimodal, speech, and AIGC fields. As a core infrastructure for AI developers in China, it is promoting the democratization of AI technology through "open source."

2026-07-14

Gradio is an open-source Python library designed for machine learning engineers and data scientists to quickly create interactive model demo web interfaces. Without front-end development experience, you can encapsulate a model into a web application with input controls (such as text boxes, image uploads, sliders, etc.) and output displays in just a few lines of code. It supports local operation and one-click deployment on platforms like Hugging Face Spaces, greatly accelerating model sharing, testing, and collaboration.

2026-07-15

To be honest, after reading the paper and demo, I immediately withdrew the paper on "Action Block Prediction" that I was planning to submit last week. Don't laugh, this is really painful for me. After six months of hard work, I thought about sewing and repairing another piece on the VLA (Visual

The OpenClaw Testing Skill is an example skill within the OpenClaw personal AI assistant ecosystem, designed to demonstrate how to create, organize, and deploy agent skills. Located in the .agents/skills/openclaw-testing directory of the openclaw repository, it includes SKILL.md and other supporting files. This skill showcases the standard structure and best practices for skill development, making it ideal for developers to learn and reference, enabling them to quickly get started in creating their own AI Agent skills.