Search Results for "html entity decode"

LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. ...

NanoH5 (or FullRelation) is a fullstack UI implementation framework providing a model driven design (MDA). Build a complete html5 application through a given class- or database-model without coding (coding APIs are available).

This java based application translates an entity-relationship-model into code. Currently implemented are generators for: PHP5 classes, PHP5 data access objects (interfaces and implementations), MySQL5 tables and HTML forms.

This script will automatically decode an obfuscated JavaScript or VBScript in HTML and scan for suspicious/malicious codes in the page.