Linguistic model of rich full small artificial intelligence is led accurately how
Exact ratio is to point to in by all forecasting for in example it is actually the probability of example. To the linguistic model, exact ratio can measure a model the accuracy when making text version and dependability. If the exact rate of the model is high, mean it to be able to convey wants information well and truly when making text version, avoid occurrence mistake or ambiguous expression. Want to raise the exact rate of the linguistic model, can from many respects proceed with. On one hand, can train the diversity of data and quality through increasing, the language that lets model study differ to more conveys means and semantic message, raise its accuracy thereby.
On the other hand, can optimize the algorithm of the model and parameter, make its can take the feature of the language and law better, improve the quality that makes text version. For example, can use more advanced deepness study algorithm, wait like Transformer framework, these algorithm showed very high exact rate and performance in task of Natural Language Processing. However, specific the artificial intelligence linguistic model to Fu Manwei, because lack relevant data, we cannot decide the particular case that its lead accurately.
Want to evaluate the exact ratio of linguistic model of rich full small artificial intelligence, need has particular test and test. Exact ratio is a when evaluate classified model performance main index, its computational formula is: True precedent of exact ratio = (Tp) / (true precedent + false exemple (Fp) .
However, do not have the specific data that about Fu Manwei artificial intelligence linguistic model leads accurately to announce at present. The exact ratio of the linguistic model can get the influence of a variety of elements, for example setting of the framework of the model, quality that trains data and amount, application and the union with other technology.
If you are right,the exact ratio of this model is interested, documentation of the pertinent information that the proposal consults the company offers Fu Manwei, product or technology report, in order to get more detailed with accurate assessment result. The professional evaluation that perhaps pays close attention to this domain and user feedback, but the exact rate that needs to notice different application setting falls may somewhat difference.
In the meantime, in applying actually, cannot depend on exact ratio to evaluate the performance of the model merely, still need to consider other index integratedly, wait like value of recall rate, F1, with understanding the model expression in different respect in the round. And, the function in different job and domain also meets different linguistic model to differ somewhat, need chooses appropriate linguistic model according to specific requirement and task, of hand-in-hand travel specific aim evaluate and optimize.