Ensemble AI
Shrink your model in minutes w/o sacrificing accuracy
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Alex Reneau

Ensemble AI - Shrink your model in minutes w/o sacrificing accuracy

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Ensemble AI
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Our Model Shrinking Platform allows you cut training & inference costs without sacrificing performance. Upload any custom or open-source model and immediately get back a smaller, faster version with no accuracy loss.

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Alex Reneau
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Hey, thanks for checking out Ensemble 👋 Shrinking AI models shouldn't mean sacrificing accuracy… With our Model Shrinking Platform, you can upload any custom or open-source model and instantly get back a smaller, faster version—with performance intact. 💸 Cost Efficient: 2x smaller models means fewer resources spent on training, fine-tuning, and inference ⚡ Lower Latency: Accelerate inference 🔀 Fully Multimodal: Works with any unimodal or multimodal model 🎯 Highly Accurate: Maintains performance across benchmarks Whether you're deploying to the edge or optimizing for scale, we’d love your feedback. Our self-serve platform is live—try it out for free and let us know what you think! 🔗 https://app.ensemblecore.ai/
Van de Vouchy

How do aggressive model compression techniques like quantization and pruning impact accuracy in complex AI tasks?

Supa Liu

Impressive launch! A platform that can shrink models without compromising accuracy is a massive win for teams scaling AI. Love the plug-and-play approach — this is going to save a ton on compute costs while keeping performance sharp.

Joy Wang

This Model Shrinking Platform is a game-changer for developers looking to optimize their AI models! By allowing you to cut training and inference costs without sacrificing performance, it delivers smaller, faster versions of any custom or open-source model with zero accuracy loss. I’m excited to see how it helps accelerate AI deployments while reducing resource consumption!