Flipboard

OCTOBER 25, 2023

Why it’s challenging to process and manage unstructured data Unstructured data makes up a large proportion of the data in the enterprise that can’t be stored in a traditional relational database management systems (RDBMS). Understanding the data, categorizing it, storing it, and extracting insights from it can be challenging.

ML 132

ML Metadata AI AI 132

AWS Machine Learning Blog

MAY 7, 2024

Sensitive data extraction and redaction LLMs show promise for extracting sensitive information for redaction. This technique helps create structured data from unstructured text and provides useful contextual information for many downstream NLP tasks. Intents are categorized into two levels: main intent and sub intent.

Prompt Engineer 95

Prompt Engineer Prompt Engineering Large Language Models LLM 95

John Snow Labs

MAY 24, 2023

Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Companies can use high-quality human-powered data annotation services to enhance ML and AI implementations.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52