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new activity about 19 hours ago
orasul/deki-yolo:Dataset
posted an update 8 months ago
Open-source AI agents are achieving State-of-the-Art results on two different Android AI agent benchmarks. Yesterday, I finished evaluating my Android agent model, deki, on two separate benchmarks: Android Control and Android World. For both benchmarks I used a subset of the dataset without fine-tuning. The results show that image description models like deki enables large LLMs (like GPT-4o, GPT-4.1, and Gemini 2.5) to become State-of-the-Art on Android AI agent benchmarks using only vision capabilities, without relying on Accessibility Trees, on both single-step and multi-step tasks. All the information is available on GitHub: https://github.com/RasulOs/deki I have also uploaded the model to Hugging Face: Space: https://huggingface.co/spaces/orasul/deki (Check the analyze-and-get-yolo endpoint) Model: https://huggingface.co/orasul/deki-yolo
updated a model 9 months ago
orasul/deki-yolo
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