What does the applied setting of linguistic model of rich full small artificial intelligence have?
The specific application setting of linguistic model of rich full small artificial intelligence may be mixed because of its function, characteristic of target user different and somewhat difference. Generally speaking, this kind of linguistic model can apply at a few more the following common domain:
- Intelligent customer service: Can understand the problem of the user and provide exact answer, help client solves a problem quickly, raise client satisfaction to spend, reduce the customer service cost of the enterprise;
- Text generates: Generate all sorts of text content such as article, news, story for example;
- Machine translation: Implementation is different the automatic interpreter between the language;
- Interlocution system: Retrieve pertinent information through understanding the problem of the user, give out the result with accurate essence;
- The dialog generates: Apply at conversational system, the mankind with imitate fluent nature speaks, can use at online chat, fictitious assistant;
- Affection analysis: Analyse the affection trend that conveys in text, decide client mood through comment or gregarious media for example, help enterprise knows client attitude;
- Information Retrieval and recommend: Understand the inquiry intention of the user, offer relevant Information Retrieval result and individuation to recommend;
- Content summary: Will long text is compressed for concise and accurate summary, facilitate be browsed quickly and understand main content;
- Code generates with auxiliary: Make code part automatically, or the Bug in assisting code of development staff rehabilitate, raise software to develop efficiency;
- Data clears: Identify and correct wrong data entry, ensure the accuracy of data and consistency, this is very important to data analysis and processing;
- Intelligence handles official bussiness: The office task such as arrangement of reply of auxiliary documentation compose, mail, program, improve work efficiency;
- Online education: Offer study to coach for the student, solve a problem, generate exercise problem to wait;
- Intelligent speech is alternant: Be united in wedlock with speech recognition technology, implementation speech turns text, text turns of speech alternant, apply at equipment of speech of speech assistant, intelligence to wait.
Those who need an attention is, although Fu Manwei is likely,particular technical actual strength is had in the relevant domain such as chip, but the specific application setting about linguistic model of its artificial intelligence, still need to consult the product of this company applies case and relevant technical documentation information, actually to wait. In the meantime, different linguistic model also is met in the expression of different domain and applicability somewhat difference, concrete applied result still needs to undertake evaluate and be optimizinged according to actual condition.