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wath5
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RexRerankers: SOTA Rankers for Product Discovery and AI Assistants
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You can now fine-tune embedding models in our free Unsloth notebook! š¤
Fine-tuning embedding models improves retrieval & RAG by aligning vectors to your domain-specific notion of similarity, improving search, clustering, and recommendations on your data.
ā Blog + Notebooks: https://unsloth.ai/docs/new/embedding-finetuning
Unsloth trains embedding models 1.8-3.3x faster with 20% less VRAM, 2x longer context & no accuracy loss vs. FA2 setups.
We'd like to thank Hugging Face and Unsloth contributor: electroglyph for making this possible!
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4 days ago
One Year Since the āDeepSeek Momentā
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