DeepSeek LLM MCQ Questions and Answers

Q1. What company developed the DeepSeek series of large language models?

A. OpenAI
B. Meta (Facebook)
C. DeepSeek AI
D. Anthropic
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Q2. What is the primary programming language that DeepSeek Coder is specialized for?

A. Java
B. Python
C. JavaScript
D. No specific language specialization
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Q3. What was notable about DeepSeek LLM's training approach?

A. It was trained exclusively on scientific papers
B. It used a massive amount of Chinese language data
C. It was trained on a multilingual dataset with emphasis on both English and Chinese
D. It was trained solely on code repositories
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Q4. What year was the first version of DeepSeek released?

A. 2021
B. 2022
C. 2023
D. 2024
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Q5. What is one of the key strengths of DeepSeek Coder compared to other coding LLMs?

A. Support for mobile app development only
B. Strong performance in mathematical reasoning and algorithm design
C. Focus on low-level programming languages only
D. Specialized in database management systems
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Q6. Which of the following is NOT a variant of the DeepSeek model family?

A. DeepSeek-V
B. DeepSeek LLM
C. DeepSeek Coder
D. DeepSeek Math
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Q7. What licensing approach did DeepSeek take with their models?

A. Completely closed source
B. Open weights with restricted commercial use
C. Open source with permissive licensing for commercial use
D. Free for academic use only
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Q8. Which benchmark has DeepSeek Coder performed particularly well on?

A. ImageNet
B. HumanEval
C. SQUAD
D. GLUE
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Q9. What is the context window size of the standard DeepSeek LLM?

A. 4K tokens
B. 8K tokens
C. 16K tokens
D. 32K tokens
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Q10. How does DeepSeek Coder compare to GitHub Copilot in terms of development approach?

A. DeepSeek Coder is closed source while Copilot is open source
B. DeepSeek Coder is open source while Copilot is built on proprietary models
C. Both are equally open source
D. Neither is open source
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Q11. What parameter size variants of DeepSeek LLM were released?

A. Only 7B
B. 7B and 67B
C. 7B, 33B, and 67B
D. 7B, 13B, and 33B
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Q12. What architecture is DeepSeek based on?

A. GPT architecture
B. PaLM architecture
C. T5 architecture
D. BERT architecture
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Q13. What programming language is DeepSeek Coder implemented in?

A. JavaScript
B. C++
C. Python
D. Rust
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Q14. Which country is the DeepSeek AI company based in?

A. United States
B. China
C. United Kingdom
D. Canada
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Q15. What is a distinctive feature of DeepSeek Chat compared to the base DeepSeek LLM?

A. DeepSeek Chat is instruction-tuned for conversation
B. DeepSeek Chat has a smaller parameter count
C. DeepSeek Chat can only respond in Chinese
D. DeepSeek Chat focuses only on scientific domains
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Q16. How does DeepSeek Coder's training data differ from general LLMs?

A. It was trained exclusively on mathematical problems
B. It was trained primarily on code repositories and programming documentation
C. It was trained only on computer science textbooks
D. It uses the same training data as general LLMs
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Q17. Which of these is a key application area where DeepSeek models excel?

A. Autonomous driving
B. Speech recognition
C. Bilingual (Chinese-English) language tasks
D. Video generation
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Q18. What safety approach does DeepSeek employ in its models?

A. No safety measures are implemented
B. Extensive alignment through RLHF (Reinforcement Learning from Human Feedback)
C. Simple keyword filtering only
D. Manual review of all outputs
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Q19. What distinguishes DeepSeek MoE from standard DeepSeek models?

A. DeepSeek MoE uses Mixture of Experts architecture for better efficiency
B. DeepSeek MoE is designed for mobile devices only
C. DeepSeek MoE is limited to educational applications
D. DeepSeek MoE can only process images
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Q20. How does DeepSeek compare to Claude and GPT-4 in terms of accessibility?

A. DeepSeek is more restricted with fewer public access options
B. DeepSeek is similar in accessibility to Claude and GPT-4
C. DeepSeek offers more open access with downloadable model weights
D. DeepSeek is only available through specialized hardware
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