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blog.nomic.ai
| | www.mixedbread.ai
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| | The 2D model introduces a novel approach that enables you to reduce both the number of layers and the dimensions of embeddings within the model. This dual reduction strategy allows for a more compact model size while still delivering competitive performance compared to leading models, such as Nomic's embedding model. Specifically, reducing the model's layers by approximately 50% retains up to 85% of its original performance, even without additional training.
| | www.nomic.ai
0.7 parsecs away

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| | Nomic expands the capabilities of Nomic Embed to include vision.
| | www.singlelunch.com
2.5 parsecs away

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| | This is the blog version of a talk of mine on embedding methods. It's the main slides and what I would say in the talk. Intended audience: Anyone interested in embedding methods. I don'...
| | seekinglavenderlane.com
6.8 parsecs away

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| [AI summary] The post discusses home design inspiration and contact information for collaboration opportunities.