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Content by David Cecchini

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Ph.D. at Tsinghua-Berkeley Shenzhen Institute | Data Scientist

Blog

Version 1.20.0 of the library comes with optimized sentence embedding models for RAG applications in the Legal domain and new demo apps for Subpoenas. Sentence Embedding Models The new sentence...

Version 1.20.0 of the library has an optimized sentence embedding model for RAG application in the Finance domain and aspect-based sentiment analysis of financial entities in context. Sentence Embedding Model...

Version 1.19.0 of the library comes with a topic classification multi-label model using the INSTRUCTOR embedding. New Multilabel Model on Legal Stack Exchange topics with INSTRUCTOR This model extends a...

Version 1.19.0 of the library has an optimized sentence embedding model for RAG application in the Finance domain and aspect-based sentiment analysis of financial entities in context. Sentence Embedding Model...

This blog article delves into the exciting synergy between the T5 model and Spark NLP, an open-source library built on Apache Spark, which enables seamless integration of cutting-edge NLP capabilities...
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