CapSolver 的 AI-LLM 架构：自适应 CAPTCHA 识别的决策管道

CAPTCHAs have significantly evolved from simple text challenges to complex interactive puzzles and dynamic risk-based systems. This complexity necessitates more advanced automation workflows than traditional image recognition methods can provide. Conventional Optical Character Recognition (OCR) techniques struggle to address these new CAPTCHA types, highlighting the need for smarter solutions. CapSolver's proposed AI-LLM architecture utilizes a decision pipeline approach that adapts to various CAPTCHA challenges, enhancing recognition accuracy and efficiency. This architecture integrates deep learning and natural language processing technologies, allowing for dynamic strategy adjustments to cope with the ever-changing forms of CAPTCHAs.