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  first try finetune deepseek-r1-distill-qwen-1.5b by java. needed comparation on leaderboard )
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  # Strategic Methodology for Staged Artificial Intelligence Learning: From Architectural Thinking to Multilinguistic Understanding
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  Modern approaches to the development and training of artificial intelligence systems increasingly turn to biological analogies, particularly to the process of human cognitive development. The presented research proposes a comprehensive methodology for multi-phase training of AI systems that mimics the sequential process of human learning – from basic architectural concepts to complex language competencies. This methodology is based on the principle that artificial intelligence should first form a structural understanding of information and basic thinking skills before immersing itself in specialized knowledge domains. Such an approach potentially contributes to the formation of deeper contextual understanding and more effective reasoning abilities in artificial intelligence systems.
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  first try finetune deepseek-r1-distill-qwen-1.5b by java. needed comparation on leaderboard )
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  # Strategic Methodology for Staged Artificial Intelligence Learning: From Architectural Thinking to Multilinguistic Understanding
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  Modern approaches to the development and training of artificial intelligence systems increasingly turn to biological analogies, particularly to the process of human cognitive development. The presented research proposes a comprehensive methodology for multi-phase training of AI systems that mimics the sequential process of human learning – from basic architectural concepts to complex language competencies. This methodology is based on the principle that artificial intelligence should first form a structural understanding of information and basic thinking skills before immersing itself in specialized knowledge domains. Such an approach potentially contributes to the formation of deeper contextual understanding and more effective reasoning abilities in artificial intelligence systems.
 
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+ my repo https://github.com/lexasub/codestar