protection), 3 the validity of the signature (using MSP), 4) The submitter (client A in the example) is properly authorized to perform the recommended action on the channel (that is, Each endorser ensures that the submitter satisfies the channel writer policy). Endorser the transaction proposal as a parameter to the function of the input invoked Chaincode, and executes them against the current state database to produce transaction results including r
segmentation algorithms, such as: Forward maximum matching method (MM), reverse maximum matching method (RMM), word-by-step traversal matching method, establishment of segmentation mark method, forward best matching method and reverse best matching method. In recent years, many new methods are proposed to improve the accuracy of participle and the speed of word segmentation. Such as: The generation of test method through the interaction between lexic
related to the recognized event pattern to Business events. We will introduce this selection mechanism later. Alternatively, you can filter the MQ LLM message before it is sent to the event mode using the Business events eXtreme Scale.
By pooling the high capacity, low-latency messaging capabilities of MQ LLM, and event pattern recognition for Business event, you can create a compelling solution for the client environment that requires these features.
Big picture
Let's take a look at the arc
In the thesaurus, for example:
Tom
John doe
Harry
The article is:Zhang San stole Harry's hammer and smashed John Doe's head with a hammer.
The results are then extracted:Dick and Harry Harry
There could be more than 1000 words in the thesaurus.
Don't know what third-party tools are available to make performance acceptable?
Reply content:
In the thesaurus, for example:TomJohn doeHarry
The article is:Zhang San stole Harry's hammer and smashed John Doe's head with a hammer.
The results a
It is in the word library, for example: Zhang San, Li Si, Wang Wu. the article is: Zhang San stole Wang Wu's hammer, smashed Li Si's head with a hammer, and then extracted the result: there may be more than one thousand words in the word library of Michael Jacob, 4, and 5. I don't know what third-party tools are used to make performance acceptable? Is the word library, such:
Zhang San
Li Si
Wang Wu
The article is:John stole Wang's hammer and hit Li's head with a hammer.
Then the extracted
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