DeepSeek-V2.5 (1210) & Search Agent : This GREAT Opensource LLM got MUCH BETTER!

by AICodeKing
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📚 Main Topics

  • Introduction to Deep Seek v2.5 Model
  • Improvements in Math, Coding, Writing, and Roleplay
  • New Features: Web Search and Free Access
  • Testing the Model with Various Questions
  • Overview of Ninja n Chat Sponsorship
  • Pricing and Performance Analysis

✨ Key Takeaways

  • Deep Seek v2.5 ModelThe latest iteration (1210) shows significant improvements in writing and roleplay, with notable enhancements in math and coding.
  • Web Search FeatureThe model now allows users to perform web searches for free, enhancing its utility.
  • Testing ResultsThe model was tested with various questions, yielding a mix of correct and incorrect answers, indicating its strengths and weaknesses.
  • Ninja n ChatA sponsored platform offering access to multiple AI models at a competitive price, including features for code generation and sharing.
  • Local Use ChallengesWhile the model can be run locally, its large size (236 billion parameters) makes it challenging.

🧠 Lessons Learned

  • Performance vs. PricingThe affordability of Deep Seek makes it an attractive option for users, despite some limitations in performance compared to newer models.
  • Continuous ImprovementThe video highlights the importance of ongoing development in AI models, with anticipation for the upcoming Deep Seek v3.
  • User EngagementEncouraging viewer interaction through comments and support options fosters a community around the content.

Overall, the video provides a comprehensive overview of the Deep Seek v2.5 model, its capabilities, and the context of its use in the evolving landscape of AI technology.

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