AI & Machine Learning

Tuning Qwen2.5-VL to Improve Its Web Interaction Skills

Ali Nemati2 days ago26 sec read2 views0 listens

Researchers have fine-tuned Qwen2.5-VL-32B, an advanced open-source vision-language model, to enhance its ability to perform web-based tasks autonomously from visual input alone. This improvement addresses critical challenges such as inaccurate element localization and overoptimistic action outcomes, significantly boosting the model's reliability in executing precise web interactions. Developers should monitor further advancements in VLMs for more robust automation capabilities.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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