Head-to-head comparison testing DeepSeek R1 against GPT-4o and Claude 3.5 Sonnet on math, coding, logic, and creative reasoning tasks with detailed analysis.
Advanced prompt engineering techniques specific to DeepSeek R1: controlling think tags, optimizing reasoning chains, multi-step problem decomposition, and output formatting.
End-to-end tutorial building a Retrieval-Augmented Generation system using DeepSeek V3 with LangChain, ChromaDB, and a Streamlit frontend.
Testing DeepSeek R1's mathematical reasoning on progressively harder problems from AMC 10/12 through AIME to IMO level, with analysis of its reasoning chains.
How researchers use DeepSeek R1 to analyze academic papers, synthesize findings across studies, identify research gaps, and generate structured literature reviews.
Production deployment guide for self-hosting DeepSeek V3 using vLLM on cloud GPU instances, covering model sharding, load balancing, monitoring, and cost comparison vs API.
Tutorial showing how to use DeepSeek R1 for data science workflows: writing pandas transformations, generating SQL queries, creating matplotlib visualizations, and statistical analysis.
Workflows from the Neura Market marketplace related to this DeepSeek resource