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Automated text processing tool
The NLP Database is a platform that allows users to utilize OpenAI's GPT-3 and Hugging Face models to analyze unstructured text data in their databases. The platform offers simple SQL commands that enable automatic classification and labeling of text columns, message creation, text summarization, translation and more. By automating text analysis, the platform increases data efficiency and minimizes manual ETL-ing and other data governance and security issues. With the ability to apply Hugging Face and OpenAI models directly to data, users can run NLP use cases across all available unstructured data in tables with just a few lines of SQL. The NLP Database also allows for NLP to be used at the data layer and generate predictions and inference directly as regular tables. This reduces development complexity and integrates NLP into the production process seamlessly. As a result, multi-layered AI solutions can easily be built by combining NLP models and data layers. The platform offers tutorials and practical, step-by-step guides for popular use cases such as text classification and sentiment analysis.Features:
- Use OpenAI's GPT-3 and Hugging Face models to analyze unstructured text data in databases
- Offer simple SQL commands for automatic classification and labeling of text columns, message creation, text summarization, translation, and more
- Increase data efficiency and minimize manual ETL-ing and other data governance and security issues
- Run NLP use cases across all available unstructured data in tables with few lines of SQL
- Apply NLP at the data layer and generate predictions and inferences directly as regular tables
- Reduce development complexity and integrate NLP into production processes seamlessly
- Easily build multi-layered AI solutions by combining NLP models and data layers
- Offers tutorials and practical, step-by-step guides for popular use cases such as text classification and sentiment analysis.
