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

Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...

Initially I expected that the manifest file created using writeManifest() would be the thing that gets used when deploying an app. My intended workflow was to have a script generating a manifest.json ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

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 ...

Abstract: This paper introduces a tool designed to enhance query accuracy in relational databases by automatically detecting and correcting typographical errors in Structured Query Language (SQL) ...

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 ...