Use zero-shot large language models on Amazon Bedrock for custom named entity recognition
CAT
1 min read
Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or […]
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Use zero-shot large language models on Amazon Bedrock for custom named entity recognition
