Core Insights - The article emphasizes the importance of continuous learning and adaptation for product managers in the AI field, particularly in utilizing open-source projects to enhance productivity and efficiency. Group 1: Open Source Projects - DIFY-type open-source projects focus on AI model management, allowing users to manage and debug multiple AI models effectively [2][4] - Manus-type open-source projects, such as Joyagent, are designed for automation in AI applications, supporting thousands of agent applications running in parallel [5] - Development and design open-source projects, like Onlook, enable product managers to generate front-end code without needing to write it themselves [6][7] Group 2: AI Models and Algorithms - The article highlights several prominent open-source AI models available on platforms like Hugging Face, including OpenAI's OSS 120B and DEEPSEEK 671B, which require significant memory resources for deployment [8][9] - Open-source algorithms related to voice technology, such as TTS and ASR, are crucial for creating realistic digital human interactions, distinguishing them from general large models [9][12] Group 3: Licensing and Commercial Use - The focus is on open-source projects that adhere to MIT and Apache 2.0 licenses, which allow for commercial use and modification without the requirement to disclose changes [13]