content.raw: OS-Copilot is a new framework for creating computer agents such as FRIDAY. This framework enables agents to interact seamlessly with your operating system, handling tasks like file management, multimedia editing, and more.
content.type: text
content.value: OS-Copilot is a new framework for creating computer agents such as FRIDAY. This framework enables agents to interact seamlessly with your operating system, handling tasks like file management, multimedia editing, and more.
content.type: new_line
content.type: new_line
content.raw: The system has three components:
content.type: text
content.value: The system has three components:
content.type: new_line
content.raw: * Planner: It takes complex user requests and breaks them down into manageable subtasks for efficient execution.
content.type: text
content.value: * Planner: It takes complex user requests and breaks them down into manageable subtasks for efficient execution.
content.type: new_line
content.raw: * Configurator: It prepares tasks for execution based on your preferences and available commands using a memory mechanism.
content.type: text
content.value: * Configurator: It prepares tasks for execution based on your preferences and available commands using a memory mechanism.
content.type: new_line
content.raw: * Actor: It executes the tasks and learns from feedback, ensuring continuous improvement.
content.type: text
content.value: * Actor: It executes the tasks and learns from feedback, ensuring continuous improvement.
content.type: new_line
content.type: new_line
content.raw: FRIDAY outperforms other methods on GAIA, a comprehensive benchmark. To answer the questions from GAIA, the agents need skills to calculate numbers, browse the web, process video and speech signal and others.
content.type: text
content.value: FRIDAY outperforms other methods on GAIA, a comprehensive benchmark. To answer the questions from GAIA, the agents need skills to calculate numbers, browse the web, process video and speech signal and others.
content.type: new_line
content.type: new_line
content.raw: Resources:
content.type: text
content.value: Resources:
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content.raw: * Paper: 
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content.value: * Paper: 
content.label: OS-Copilot: Towards Generalist Computer Agents with Self-Improvement (2402.07456)
content.raw: https://huggingface.co/papers/2402.07456
content.id: 2402.07456
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2402.07456
content.type: new_line
content.raw: * Project GitHub: 
content.type: text
content.value: * Project GitHub: 
content.href: https://github.com/OS-Copilot/FRIDAY
content.raw: https://github.com/OS-Copilot/FRIDAY
content.type: link
content.type: new_line
content.raw: * Project page: 
content.type: text
content.value: * Project page: 
content.href: https://os-copilot.github.io/
content.raw: https://os-copilot.github.io/
content.type: link
content.type: new_line
content.type: new_line
content.raw: Congrats to the authors Wu, Zhiyong et al. for their work!
content.type: text
content.value: Congrats to the authors Wu, Zhiyong et al. for their work!
rawContent: OS-Copilot is a new framework for creating computer agents such as FRIDAY. This framework enables agents to interact seamlessly with your operating system, handling tasks like file management, multimedia editing, and more.
  
  The system has three components:
  * Planner: It takes complex user requests and breaks them down into manageable subtasks for efficient execution.
  * Configurator: It prepares tasks for execution based on your preferences and available commands using a memory mechanism.
  * Actor: It executes the tasks and learns from feedback, ensuring continuous improvement.
  
  FRIDAY outperforms other methods on GAIA, a comprehensive benchmark. To answer the questions from GAIA, the agents need skills to calculate numbers, browse the web, process video and speech signal and others.
  
  Resources:
  * Paper: https://huggingface.co/papers/2402.07456
  * Project GitHub: https://github.com/OS-Copilot/FRIDAY
  * Project page: https://os-copilot.github.io/
  
  Congrats to the authors Wu, Zhiyong et al. for their work!
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