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In this video, I’ll be telling you about Mistral Small 3 which is a new, local and open model that beats everyother local model including Deepseek R1 Distill.
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Key Takeaways:
😃 Discover how Mistral Small 3, a 24B AI model, is challenging the giants like Llama 3.3 70B and Qwen 32B in our deep dive review into next-gen language models.
🚀 Learn how the Small 3 model leverages powerful hardware like the RTX 4080 and even runs on a MacBook with 32GB RAM for efficient local inference and smooth integration in AI pipelines.
🔥 Explore its advanced features, including function calling support and versatile API access, making it a top choice compared to proprietary models and optimizing your AI development process.
💡 See our detailed benchmark comparisons that hide core optimization keywords, proving the model’s competitive performance against larger instruct models while addressing real-world applications.
🛠️ Get insider tips on integrating Mistral’s models with popular tools like RooCode, Aider, and more, unlocking hidden SEO secrets for seamless API integration and local deployment.
🎯 Witness live tests with diverse tasks—from generating HTML confetti explosions to crafting playable synth keyboards—showcasing the model’s cutting-edge multi-purpose capabilities.
🔍 Dive into our hands-on guide that covers everything from code generation and SVG art to terminal-based Python games, ensuring you have the ultimate resource for modern AI solutions.
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Timestamps:
00:00 – Introduction
02:30 – PhotoGenius (Sponsor)
03:39 – Testing
08:22 – Final Charts & Thoughts
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