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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.