Modern language models often face the problem of reducing the quality of answers with long -term education. Scientists have proposed a method based on improving the current trust zone approach that allows you to train nervous networks more effectively. The new method showed improvements according to five basic parameters: accuracy, logic, consistency, style and information content.
In addition, the method helped nourates avoid random errors and sometimes unwanted strange expressions that emerged while learning narrow -proofil tasks. The advantage of a new approach in simple application and compatibility with existing technologies.
Source: Ferra
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