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At the 2025 Global Developer Pioneer Conference, SenseTime announced the launch of its open-source low-code platform, LazyLLM, aimed at lowering the barrier to entry for AI application development. Developers can now build complex multi-agent large model applications with approximately 10 lines of code. LazyLLM not only helps users rapidly develop AI applications but also simplifies the development process through intuitive operations, making it as easy as building with blocks. The name "LazyLLM" reflects SenseTime's goal of enabling effortless AI application development.

DingTalk has announced that its AI Assistant has fully integrated with the DeepSeek model series, providing users with more intelligent options. When creating an AI Assistant, users can choose from the DeepSeek R1, V3, and various distilled models. Additionally, DingTalk has launched a brand-new template that simplifies the AI Assistant creation process, enabling users to publish assistants based on the DeepSeek models with just one click. The AI Assistant based on DeepSeek not only possesses deep thinking capabilities but also supports online queries.

Highlights: * Australian startup Relevance AI has launched a low-code platform to assist businesses in building custom AI teams * The platform has successfully raised $10 million in Series A funding * The goal is for every team to employ at least one AI agent by 2025 * The platform caters to multimodal use cases including text, images, and audio.