The central point of the dog search and the upgrading of the vocabulary is that it worksAi large modelThe input logic has been re-engineered from simply increasing the number of thesaurus to a deeper understanding of user intentions and scenes. This upgrade of a large version of ai is not just a digital expansion, but an evolution of intelligence。
Ai understands scenes and intentions
In the past, the input method relied on a big wordbook match, but users often complained that there was no previous typework. The chief of the ai type-writing product, shen chang-jin, explained that the problem was that the user needed a step forward: the explosion of information brought with it new words, the proliferation of professional terms and the lack of a common vocabulary. To that end, the search dog's self-study ai type model focuses on:The scene is understood"and "intentional perception"。
The new model can dynamically adjust the order of words under the same spelling, depending on whether the user is in micro-clining, treasure shopping or shivering。
This context-based intellectual optimization allows the input method to move from passive matching to active adhesion, with a higher preference of more than 10 per cent for popular words. More crucial is the fact that the vocabulary is being updated very quickly, that the new aphrodisiac can be captured at the hourly level, and that video plays and characters can be called the next day to ensure that the vocabulary remains alive。
Overwrite long end words
The expansion of the local life vocabulary to 50 million+ is one of the most visible manifestations of this upgrade. These are aimed at words such as “long tails but high frequency”, such as mini-cafés at the corner of the street, communal settlements, and geographical graft names. In the past, users were often troubled by the lack of a precise name for the shop, and the vocabulary now covers such details on a large scale, with the aim of alleviating “nounic anxiety”。
This is not just adding words, but also extending the service boundary of the input method from the generic vocabulary on line to every corner of real life under the user line. Inputs can be made more smooth and efficient, both at the place where friends meet for dinner and at the planning of travel campaigns. Thesaurus covers 18 types of vertical ap scenes and ensures that typing experiences in all applications remain industry-led。
Enabling professionals
Another major breakthrough in the upgrade was the deep customization for vertical industries, which marked the extension of the input method from a “general communication tool” to a “productivity component”. This stems from real user feedback, such as that of a lawyer who asked, "how come you can't even use the word `breeding'?"
These professional models not only address input pain points for specific groups, but also try to embed user workflows and become vertical information processing assistants。
In general, the upgrading of the vocabulary is a step towards full-fledged dog search, making the input tools more human and intelligent。
