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The dataset was designed to address the major challenges of multilingual multimodal learning: datascarcity, cultural nuances, catastrophic forgetting, and evaluation complexity. Don’t Forget to join our 50k+ ML SubReddit. Moreover, PANGEA matches or even outperforms proprietary models like Gemini-1.5-Pro
To address datascarcity and granularity issues, the system employs sophisticated synthetic data generation techniques, particularly focusing on dense captioning and visual question-answering tasks. Don’t Forget to join our 55k+ ML SubReddit. If you like our work, you will love our newsletter.
These models are trained on data collected from social media, which introduces bias and may not accurately represent diverse patient experiences. Moreover, privacy concerns and datascarcity hinder the development of robust models for mental health diagnosis and treatment. Don’t Forget to join our 50k+ ML SubReddit.
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