| Cím: | PoweReader-AI powered RSS 1.7.0 |
| Operációs rendszerek: |
|
| Licenc: | Freeware |
| Hozzáadás dátum: | 2024. 12. 21. |
| Kiadó: | 珂诚 许 |
| Értékelés: | Kliens letöltése értékeléshez! |
| Változásnapló: |
Offline Summary Engine Upgrade - Newly optimized offline model with significantly improved article summary quality and stability - Enhanced contextual understanding capability, providing more accurate and coherent summaries - Significantly improved performance and reliability for long text processing New Visual Explanation Feature - Support for visual explanation of any text passage in articles - Intelligent generation of intuitive charts to help understand complex concepts - Support for multiple chart types, automatically selecting the most suitable visualization method Performance Optimization - Restructured long article list loading mechanism for significantly improved scrolling smoothness - Optimized memory management, reducing memory usage with large numbers of articles - Improved data caching strategy for faster article loading Enhanced Multilingual Support - Fixed key issues in multilingual translation - Improved language detection accuracy in the translation engine - Enhanced user experience in multilingual environments Summary System Upgrade - When summarizing articles, you can now individually select models based on your needs - Fixed Markdown rendering issues for better reading experience - Improved image generation quality for visual summaries - Enhanced stability of cloud summary services OPML Import Optimization - Restructured OPML import logic for higher success rates - Optimized error handling during import process - Improved import progress display Other Improvements - Added article sorting options, supporting sorting by newest or oldest - Optimized article list performance and response speed - Improved user interface smoothness and interaction experience Bug Fixes - Fixed stability issues with the summary feature - Resolved display anomalies in Markdown rendering - Fixed potential OPML import failures |
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