NLP Pipelines From Data Ingestion to Model Deployment
NLP Pipelines From Data Ingestion to Model Deployment Building an NLP pipeline means turning raw text and signals into a usable model and a reliable service. A good pipeline handles data from ingestion to deployment and keeps work repeatable and auditable. The core idea is to break the task into clear stages, each with checks that help teams improve step by step. Data Ingestion Data can come from many sources: websites, chat logs, customer tickets, or public datasets. Decide between batch ingestion and streaming, depending on the use case. Store raw data in a secure data lake and keep metadata about time, source, language, and privacy. ...