An overview of popular techniques to confine LLMs' output to a predefined schema, covering API providers, prompting/reprompting strategies, and constrained decoding.
Extract data from websites in LLM ready JSON or CSV format. Crawl or Scrape entire website with Website Crawler
A guide to building a robust logging system in Python, covering structured logging, log levels, handlers, formatters, filters, and integrating logging with modern observability practices.
This video course introduces DuckDB, an open-source database for data analytics in Python. It covers creating databases from files (Parquet, CSV, JSON), querying with SQL and the Python API, concurrent access, and integration with pandas and Polars.
A library for working with prompt templates locally or on the Hugging Face Hub. It aims to provide a standardized way of sharing and using prompt templates, with a focus on interoperability and modularity.
Mods is a tool to add AI to your command line and pipelines, using Large Language Models to format command output in Markdown, JSON, and other text-based formats.
yq is a command-line tool that processes YAML, XML, and TOML files by converting them to JSON and using jq for further processing. It supports various options for preserving YAML tags and styles, and can be used as a module for in-place edits.
The article discusses the use of jq, xq, and yq tools for processing JSON, XML, and YAML data from the command line. It includes examples of how to use these tools to extract and manipulate data, as well as converting GPX files to CSV format.
ReaderLM-v2 is a 1.5B parameter language model developed by Jina AI, designed for converting raw HTML into clean markdown and JSON with high accuracy and improved handling of longer contexts. It supports multilingual text in 29 languages and offers advanced features such as direct HTML-to-JSON extraction. The model improves upon its predecessor by addressing issues like repetition in long sequences and enhancing markdown syntax generation.
ReaderLM-v2 is a 1.5B parameter language model designed to convert raw HTML into beautifully formatted markdown or JSON. It supports multilingual input and offers improved longer context handling, stability, and advanced markdown generation capabilities.
