How is linguistic model of will rich full small artificial intelligence compositive in existing cloud computation system?

Linguistic model of will rich full small artificial intelligence is compositive can consider the following move in existing cloud computation system:

One, pre-construction

Know character of rich full tiny linguistic model

• Requirement of format of output of characteristic of the function that studies linguistic model of rich full small artificial intelligence deep, function, input and applicable applied setting. How is this the help certainly in cloud computation system best uses this model.
• Examine guideline of the technical documentation that Fu Manwei provides, API and code of give typical examples, the interface standard with understanding a model and use method.

Evaluate cloud computation system

• State of the framework that analyses system of existing cloud computation, resource, data stores and handle ability. Is compositive and move.
• Frame of the programming language that place of system of examination cloud computation uses, development and tool, ensure the compositive compatibility with rich full tiny linguistic model.

2, data preparation and processing

Data is collected with arrange

• Affirmatory need inputs the data origin of the linguistic model, the existing data in including cloud computation system possibly stores (like system of database, file) , real time data flows or outside data source.
• Undertake cleaning to data, pretreatment and tag, in order to ensure the quality of data and consistency. This may include purify noise data, standardization format, wait for an operation into word of devoir of style or manner of writing.

Data storage and management

• Choose appropriate data storage plan, ensure the output result that can store efficiently and retrieves data-in and linguistic model. Memory of the database service that can consider to use cloud computation platform to offer, object or distributed file system.
• Build data government strategy, include data backup, restore to be controlled with version, can safeguard a gender in order to ensure the security of data is mixed.

3, compositive carry out

Choose compositive way

• According to the characteristic of cloud computation system and demand, can select different compositive kind. Common method includes to use API to call, the software development tool is wrapped (SDK) or container changes deploy.
• If Fu Manwei offerred API, can pass call API general the linguistic model is compositive in the applied process to cloud computation system. Ensure means of the use limitation that knows API, attestation is mixed call frequency to wait.
• SDK offerred more advanced function and more convenient compositive way normally, can calculate in the cloud directly systematic development is used in the environment.
• Container changes deploy to be able to enclose the linguistic model in container, facilitate in cloud computation platform aspirant travel deploy is mixed management.

Develop compositive interface

• According to the compositive means of the choice, develop corresponding interface code. This may involve the function that writes API to call code, use SDK to offer to perhaps configure container to change deploy.
• Ensure interface code can handle data-in correctly, deliver its the linguistic model to undertake handling. In the meantime, want to be able to receive the output result of the linguistic model, return its the applied process of cloud computation system.

Function is optimized with the test

• In compositive process, want to notice function is optimized. The computational resource demand that considers a linguistic model, answer time and intercurrent processing capability. Can calculate through adjusting the cloud technology of systematic resource allocation, use cache or optimize algorithm to improve performance.
• Have sufficient test, include functional test, function test and safe test. Ensure compositive the system after can handle all sorts of input cases correctly, satisfy function and safe requirement. Can use automation to check tool and imitate data to have a test.

4, deploy and safeguard

The system after deploy is compositive

• Will compositive the deploy of cloud computation system of rich full tiny linguistic model arrives in manufacturing environment. According to the deploy means of cloud computation platform, can choose to use automation deploy tool, container to weave platform or hand move deploy.
• Ensure to the system considers in deploy process but expansibility, tall usability and fault tolerance sex. The load that can use cloud computation platform to offer expands balancedly, automatically and backup restores a function.

Monitoring and safeguard

• Establish monitoring mechanism, real time is monitored compositive the function of the system after, usability and resource use a case. The monitoring tool that platform of use cloud computation provides or software of tripartite monitoring, discover in time and solve a problem.
• Undertake safeguard and be updatinged to the system regularly, include to update flaw of linguistic model, rehabilitate, optimize function to wait. The technology that pays close attention to Fu Manwei is updated and safe announcement, take corresponding step in time.

Improve continuously

• Feedback according to the user and use a case actually, improve ceaselessly compositive the system after. Collect the opinion of the user and proposal, analyse systematic service data, find out improvement way and opportunity.
• Maintain with Fu Manwei communicate, the technology that understands them develops and replace a plan, so that upgrade in time,mix optimize compositive linguistic model.

Linguistic model of compositive rich full small artificial intelligence needs to plan carefully and be carried out to system of existing cloud computation, ensure systematic stability, function and security. In the meantime, want to undertake adjust and be optimizinged according to effective demand and circumstance, in order to fill minute of dominant position that produces a linguistic model, provide better service for the user.