Entity Recognition with LLM: A Complete Evaluation

Author(s): Patrick Meyer

Originally published on Towards AI.

Photo by Alexander Grey on Unsplash

Thanks to their size, large language models (LLMs) have acquired formidable language processing skills. With little or no examples, they are able to perform language processing operations such as classification, sentiment analysis, concept extraction, named entity recognition, translation, and more.

SpaCy is a language processing library written in Python and Cython that has been well-established since 2016. The majority of processing is a combination of deep learning, Transformers technologies (since version 3.0), and statistical analysis. Explosion’s open approach allows users to train their own models and adapt the behaviors to their needs. In all cases, we… Read the full blog for free on Medium.

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Published via Towards AI