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How to Use DeepSeek

BY a4gqz
May 25, 2025
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DeepSeek Overview

Introduction

  • China has launched DeepSeek, an open-source AI, reportedly surpassing Western AI models like ChatGPT and Claude.
  • It has quickly become the most downloaded AI model.
  • The video aims to demonstrate DeepSeek’s practical usage and compare it to other models in terms of quality, cost, and privacy.

Getting Started with DeepSeek

  • Account Setup: Requires personal email and password for account creation.
  • Interface: Users need to sign up and enter a code received via email.

Unique Features of DeepSeek

  • Reasoning Model: DeepSeek's reasoning model showcases its thought process, aiming for higher accuracy by allowing more reasoning time.
  • Chain of Thought Reasoning: Breaks down complex problems into steps for more accurate answers. Useful for complex problems despite longer response times.

Comparisons and Demonstrations

  • Reasoning and Problem Solving: Demonstrated through examples like word problems and creative tasks (e.g., writing haikus).
  • Direct Comparisons: Compared side-by-side with ChatGPT for different tasks such as decision making, coding, and productivity.
  • Search Capabilities: Some limitations noted, but search features available for up-to-date information (though compared to previously unavailable ChatGPT features).

Costs and Open-source Benefit

  • Affordability: DeepSeek is cost-effective compared to other models due to lower training costs ($5.6 million vs. up to $100 million for others).
  • Open-source: Being open-source, it allows for various companies to build on it, potentially providing additional functionalities.

Privacy Concerns

  • DeepSeek is run from China with no opt-out option from data usage for model improvement.
  • Potential solution: Running DeepSeek locally could alleviate privacy issues.

Conclusion

  • While ChatGPT currently leads in certain tasks, DeepSeek’s affordability and open-source nature present a significant technological advancement.
  • Intended future content includes using the open-source version locally.