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  Deep Research Evaluator is a conceptual AI system designed to analyze and synthesize information from extensive research literature, such as arXiv papers, to learn about specific topics and generate code applicable to long-horizon tasks in AI. This involves understanding complex subjects, identifying relevant methodologies, and implementing solutions that require planning and execution over extended sequences.
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  # Project Architecture
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  Deep Research Evaluator is a conceptual AI system designed to analyze and synthesize information from extensive research literature, such as arXiv papers, to learn about specific topics and generate code applicable to long-horizon tasks in AI. This involves understanding complex subjects, identifying relevant methodologies, and implementing solutions that require planning and execution over extended sequences.
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+ Claude AI is built in.
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+ Mixtral MOE 8B is the central model used alongside the arxiv embeddings RAG search:
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/620630b603825909dcbeba35/742HW6RWYk35BK2g5Eq-T.png)
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  # Project Architecture
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