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DeepSeek-R1 in practice with step.ai

Blog post from Inngest

Post Details
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Date Published
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Word Count
2,250
Language
English
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Summary

DeepSeek-R1 is a cheaper and open-source model that excels at agentic reasoning, superior multilingual capabilities, large context windows, and generalization across domains. It was tested in real-world examples with Inngest as an orchestrator library and interface to explore its Multi-Lingual marketing content generator, Agentic arXiv Research Assistant, and other use cases. The model demonstrated strong performance in understanding and generating content in multiple languages while maintaining cultural nuances. Its large context window capability enabled it to provide relevant search queries for arXiv research papers, even when asked questions in French. However, the model still lacks support for tool calling and system prompts, which are essential for creating agentic applications.