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Adrian Lucas Malec
adlumal
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I benchmarked embedding APIs for speed, compared local vs hosted models, and tuned USearch for sub-millisecond retrieval on 143k chunks using only CPU. The post walks through the results, trade-offs, and what I learned about embedding API terms of service. The main motivation for using USearch is that CPU compute is cheap and easy to scale. Blog post: https://huggingface.co/blog/adlumal/lightning-fast-vector-search-for-legal-documents
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cais/hle
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8 days ago
The Massive Legal Embedding Benchmark (MLEB)
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adlumal/auslaw-embed-v1.0
Sentence Similarity
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Updated
Jan 3, 2024
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154
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adlumal/AusLegalQA-Mixtral-8x7B-Instruct-v0.1
Text Generation
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47B
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Dec 23, 2023
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