NLP Embeddings and Model Compression

4 repos

Tools and models for creating, optimizing, and working with text embeddings and sentence transformers in NLP applications. This cluster centers on efficient embedding generation and model compression techniques, with several lightweight foundation models (the Potion series) designed for efficient semantic understanding. Key projects explore practical approaches to reducing model size while maintaining embedding quality, useful for deployment in resource-constrained environments.

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