Language Modeling Ecological Integration Strategies
DroidRun is designed with an open API architecture, and its model adaptation layer supports plug-and-play of mainstream large language models. The system can seamlessly interface with AI models of different architectures, including Gemini, GPT-4, Grok, etc., through a standardized RESTful interface protocol. This design brings three core advantages:
- Performance grading: simple tasks can be invoked with lightweight models (Gemini Flash) to reduce costs
- Expanded capabilities: advanced models such as GPT-4 can be enabled for complex multi-step processes to guarantee success rates
- Future compatibility: new models can be accessed without modifying the underlying framework as they emerge
Actual tests show that when dealing with such complex tasks as 'selecting 9 pictures from a photo album to post on a friend circle', the success rate of GPT-4 driver can reach 82%, which is significantly better than the base model. This feature makes DroidRun suitable for both general users' quick operation and developers' needs to build professional automation systems.
This answer comes from the articleDroidRun: an open source tool for AI to automate Android phonesThe