December 2024
Intermediate to advanced
410 pages
8h 22m
English
In this chapter, we conclude the case study by first exploring how MLOps can be implemented using Data Science Pipelines, focusing on its significance in enhancing the efficiency and effectiveness of NLP workflows.
We will then revisit the development of our Healthcare Named Entity Recognition (NER) model, reflecting on each key step—from dataset preparation to fine-tuning pretrained models and, finally, the deployment and monitoring of the fine-tuned model.
By synthesizing these experiences, ...
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