What challenge can the application of linguistic model of rich full small artificial intelligence in content couplet net face?

In using linguistic model of rich full small artificial intelligence at content couplet net, may be faced with a few more the following challenge:

1. Safety and privacy issue: Equipment of content couplet network joins the gender increases, mass data of visit of linguistic model need comes learn and decision-making, this involves the privacy protection of sensitive data. Ensure data adds close, safety to transmit and strict visit control is crucial, be divulged in order to prevent data and the visit without accredit. In the meantime, need follows moral standard, avoid algorithmic generation bias, discrimination or immoral decision-making.
2. Data management and but expansibility: Equipment of content couplet network generates huge data, raised taller requirement to the memory of data and processing. Need has powerful computational ability and the memory solution that can expand to answer the data bulk of constant growth. In addition, network bandwidth limitation may bring about data to transmit defer, be in especially real time is decision-making in setting, this considers to use the technology such as margin calculation to alleviate with respect to need bandwidth pressure. artificial intelligence when linguistic model and system of existing content couplet network or traditional infrastructure are compositive, face compatibility and the problem that tackle ability possibly also.
3. The accuracy of the model and dependability: The applied setting in content couplet net is diversiform and complex, need linguistic model can be offerred below all sorts of conditions accurate with reliable result. However, the noise in real environment, data is short of break or unusual the function that waits for a circumstance to may affect a model, need adopts measure to raise the rash club sex of the model and adaptability.
4. The sources of energy uses up: Equipment of network of couplet of partial other people may be batteries power supply or have strict restriction to specific power consumption, run complex artificial intelligence linguistic model to may waste more the sources of energy, affect the add boat ability of equipment. Accordingly, need optimizes a model in order to reduce its energy demand, perhaps employ more energy-saving hardware solution.
5. Real time sex asks: Application of a lot of content couplet net have higher demand to answering time, for example industrial automation control or emergency processing. Linguistic model need gives out inside short time exact answer and decision-making, of this pair of models optimize and computational efficiency posed a challenge.
6. Hardware and computational resource restrict: The hardware natural resources of equipment of network of couplet of a few content is limited, the likelihood cannot bear the weight of large or complex linguistic model. Need suffers bounds equipment to undertake the model is compressed in the light of these resource, simplify or optimize, in order to ensure its can move effectively on equipment.
7. Update and safeguard: Equipment of content couplet network normally widespread and the amount is numerous, newer linguistic model and relevant software may become difficult. Need builds effective mechanism to undertake be updated remotely and be maintenanced, ensure the model can get used to new data and demand change.
8. Each other operates gender and level: Equipment of different content couplet network and system may come from different manufacturer, follow different level and agreement. Ensure linguistic model of rich full small artificial intelligence can be mixed with equipment of all sorts of content couplet network platform undertakes good each other is operated, need solves the problem with skimble-scamble standard.

To answer these challenges, need considers the many aspects such as technology, safe, management integratedly. Adopted step may include to strengthen safety to defend mechanism, optimize function of model of data management and processing means, promotion and adaptability, development solution of low specific power consumption, build uniform standard and agreement to wait. In the meantime, persistent research and innovation also are to solve the these challenges, key that drives artificial intelligence linguistic model to apply more extensively in content couplet net.