Texts
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From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Texts has 2 facts recorded in Dontopedia across 2 references.
doc:beam/1ea61c14-20bc-4296-932c-171875c873e5- **Multilingual Embeddings**: Use pre-trained models like `BERT` or `mBert`. - **Cross-Lingual Indexing**: Implement indexing using embeddings. - **Query Expansion**: Use translation APIs to expand queries. - **Hybrid Ranking**: Co…
doc:beam/52a2411f-6cdc-40f7-817f-3feef46e4a6b- The model is pruned by removing 50% of the neurons in linear layers. This reduces the number of parameters and improves inference speed. 4. **Efficient Tokenizer**: - The `use_fast=True` option is used to enable the fast tokenizer …
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