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DeepSeek R1 is a research-focused model excelling at retrieval and reasoning. Trained on open data with self-supervision, it supports QA, text generation, maintains conversation consistency, and is useful for R&D, academic experiments, and industrial applications.
Key Features
- Retrieval-Augmented Generation: Dynamic fact-checking and source attribution ensures verifiable, grounded outputs
- Open-Source Training: Trained on Common Crawl, academic papers enabling full reproducibility and transparency
- 128K Context Window: Extended memory maintains coherence across long academic discussions
- Research Applications: Optimized for scientific Q&A, literature review, explainable reasoning traces
