dit #7
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dit #7
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…etection and translation functions. Update text in the Home, CourseNavigation, Footer, and Navigation components to utilize the new translation functions for English, Chinese, and Serbian. Enhance language provider to support Serbian language preference.
…ated to localhost detection. Comment out several project links for future reference, streamlining the component's structure and improving readability.
…adding Serbian language options for content fetching and UI text. Update filename logic for markdown content based on selected language, and improve tooltip messages for better user experience across English, Chinese, and Serbian languages.
… across components. Remove Serbian language options and update text handling in Home, CourseNavigation, Footer, and Navigation components to focus on English and Chinese. Enhance user experience with clearer language toggling and tooltip messages.
…d streamlining language selection logic in Home, CourseNavigation, Footer, and Navigation components. Update text handling to focus on English and Chinese, enhancing user experience with clearer language toggling and tooltip messages.
…d optimizing language selection logic in Home, CourseNavigation, Footer, and Navigation components. Focus on enhancing user experience with improved language toggling and tooltip messages for English and Chinese.
…roved clarity and engagement. Enhance Home component with new project details, including faster image generation training and state-of-the-art performance metrics. Update markdown content for better readability and structure.
…t referencing and improved accessibility. Ensure all visual evidence links point to the appropriate directory structure.
…e correct paper and GitHub repository, ensuring accurate references for users.
…ture comparison diagrams, ensuring proper sizing. Update diffusion-transformer-rae-content.md to include a new comparison image between SD-VAE and RAE architectures with detailed description.
…sformer-rae-content.md, including a new figure illustrating the impact of model width and depth on loss and sample quality.
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