Model and tools for content generation and publication based on large language models

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Abstract
The article presents the architecture, model, and functional capabilities of a system for automated generation, translation, and publication of content based on large language models. The relevance of the development is determined by the needs of businesses, educational platforms, and socio-political projects for the rapid creation of multilingual materials, as well as by the necessity to counteract disinformation campaigns. The proposed solution is distinguished by its versatility and ease of deployment, even in resource-constrained environments, surpassing existing analogues that typically cover only individual stages of content management. Future development of the system envisions the integration of monitoring, automatic scaling, and the implementation of multi-level role management.

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