Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

The config schema for python-lsp-server in python_packages/jupyter_lsp/jupyter_lsp/specs/config/pylsp.schema.json is out of date with the schema in the python-lsp ...

Abstract: The JSON data format is widely used in a variety of data representation and exchange scenarios due to its flexibility. JSON data is usually schemaless, which ensures the lightweight and ...

Guidance works with most open-source LMs that can be hosted locally. Fundamentally different from conventional prompting techniques, Guidance enforces constraints by steering the model token by token ...

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Pydantic is a popular open-source Python library for data validation and modeling. It offers tools to define the structure and rules of your data, ensuring its consistency and reliability. Pydantic is ...

Many search engines rely on structured data to enhance user experiences – and this trend will likely intensify in 2025. For this reason, structured data is no longer a “nice-to-have” but an essential ...

Posit, formerly RStudio, has released a beta of Positron, a ‘next generation’ data science development environment based on Visual Studio Code. The company best known for RStudio, the leading ...

Jq is a powerful and highly flexible parser program that can stream and filter JSON data out of files and UNIX pipes. This article will teach you the basics of jq, present code examples, as well as ...