Phi-3.5 (MoE, Mini & Vision) : The NEW BEST Small Model is finally here! (Beats Llama-3.1, Mistral)
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In this video, I'll be fully testing the New Phi-3.5 Model 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, DeepSeek & Qwen-2. This model is fully opensource and can be used for FREE. It 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:
🔥 Microsoft's New Phi-3.5 Models: Discover the latest AI advancements with Phi-3.5 Vision, Phi-3.5 Mini, and the powerful Mixture of Experts model, ideal for AI enthusiasts and developers.
🧠 Mixture of Experts Explained: Understand how Microsoft’s Phi-3.5 MoE model intelligently routes prompts to specialized AI experts, enhancing performance in diverse tasks, perfect for AI researchers.
⚡ Top-Performing Benchmarks: See how Phi-3.5 models outperform rivals like Llama and Gemini in key AI benchmarks, making them essential tools for AI innovation and research.
💻 Phi-3.5 Mini & Vision Capabilities: Learn how the compact 3.8B parameter Mini model and the cutting-edge Vision model are transforming AI, with powerful features in a small package, great for developers.
🚀 Running AI Locally: Explore how Phi-3.5 models, especially the MoE, are designed for efficient local performance, making AI more accessible to developers and tech enthusiasts.
🎯 Real-World Use Cases: From solving complex math problems to generating code, see how Phi-3.5 models handle diverse tasks, proving their versatility in AI applications.
🔍 Future of AI with Microsoft: Get a glimpse into the future of AI as Microsoft pushes the boundaries with their latest Phi-3.5 models, essential viewing for anyone interested in cutting-edge AI technology.
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Timestamps:
00:00 - Introduction
00:08 - About Phi-3.5 Mini (MoE, Mini & Vision)
05:07 - Testing
11:16 - Conclusion & Ending
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