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In this video, I'll be fully testing the New DeepSeek-V2.5 to check if it's really good. I'll also be trying to find out if it can really beat Llama-3.1, Claude 3.5 Sonnet, GPT-4O & Qwen-2 in general & coding tests. DeepSeek-V2.5 model is fully opensource and can be used for FREE. DeepSeek-V2.5 is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it.
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Key Takeaways:
🔍 DeepSeek V2.5 released: The latest DeepSeek model blends coding and general use, combining both DeepSeek Coder and DeepSeek General models.
🧠 Powerful AI model: DeepSeek V2.5 excels in natural language processing and coding tasks with enhanced instruction-following and writing capabilities.
💡 Impressive benchmarks: It scores higher than previous DeepSeek models in multiple AI benchmarks, making it a top choice for both developers and general users.
💻 Open-source access: You can explore DeepSeek V2.5’s open weights on HuggingFace or Ollama, and even try it for free on the DeepSeek Chat platform.
⚙️ Advanced architecture: With 236 billion parameters and 21 billion active parameters, this model delivers high performance for various AI tasks.
💸 Affordable AI: DeepSeek V2.5 offers high-quality AI model performance at a low cost—just 30 cents per million tokens—making it ideal for those on a budget.
🎯 All-in-one AI solution: DeepSeek V2.5 eliminates the need for separate models for coding and language tasks, making it an all-in-one AI powerhouse.
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Timestamps:
00:00 - Introduction
00:07 - About DeepSeek-V2.5
02:06 - Testing
06:39 - Conclusion
07:43 - Ending
