2results about How to "Avoid memory leaks" patented technology

The invention provides an interaction method for adaptively expanding full text of input box content, which comprises the following steps: triggering a first expansion condition when monitoring that the word number of the content of an input box exceeds the preset width of the input box, starting an expansion panel positioning calculation process after response, and calculating the display position and the display size of an expansion panel by adopting an elastic layout algorithm. And based on the display position and the display size, rendering the unfolded panel on an independent graphic rendering layer through a layered rendering technology, and applying an animation effect for display, thereby generating an input box display panel. After user input is finished and the input box is out of focus, a preset triggering gesture of the input box is monitored, then a second unfolding condition is triggered, and the positioning calculation process is skipped to be executed after response. Registering and closing the monitor for the display panel of the input box, and when a preset hiding event is captured, controlling the hiding event to be hidden. The real-time perception and dynamic adjustment of content growth are realized by establishing self-adaptive mapping of the input box content and the display form; by means of elastic layout and layered rendering, input experience and interaction fluency are improved.

This invention discloses an autonomous evolutionary AGI system and method based on dual-model decoupling and human feedback, belonging to the field of artificial intelligence technology. The system includes modules for online inference (Model A), offline training (Model B), human feedback rewards, persistent storage, training scheduling, model hot replacement, distributed communication, and a secure sandbox. This invention decouples inference and training to ensure service continuity; anchors value direction with human ratings to avoid drift; employs dual-condition triggering training to improve resource efficiency; achieves seamless updates through hot replacement; avoids memory leaks through database persistence; enables multi-machine expansion through distributed architecture; and ensures execution security through a sandbox. This invention enables 24 / 7 online, controllable, and secure autonomous evolution of AGI, suitable for code generation, intelligent agents, automated R&D, and general artificial intelligence scenarios.