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Fine-Tuning Qwen3-VL for HTML Code Generation
Read Full Article: Fine-Tuning Qwen3-VL for HTML Code Generation
Fine-tuning the Qwen3-VL 2B model involves training it with a long context of 20,000 tokens to effectively convert screenshots and sketches of web pages into HTML code. This process enhances the model's ability to understand and interpret complex visual layouts, enabling more accurate HTML code generation from visual inputs. Such advancements in AI models are crucial for automating web development tasks, potentially reducing the time and effort required for manual coding. This matters because it represents a significant step towards more efficient and intelligent web design automation.
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