Abstract: Model-Driven Engineering (MDE) places models at the core of system and data engineering processes. In the context of research data, these models are typically expressed as schemas that ...
A pre-commit hook that validates JSON files contain valid $schema references and validates the JSON data against the referenced schema.
A JSON prompt is a simple text-based way to instruct an AI model using a JSON object so that tasks, constraints, and expected outputs are explicit and machine‑readable, which improves accuracy and ...
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 ...
https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within Google Colab. Leveraging the power of ...
Unable to resolve the path of provided JSON schema, applies only to relative paths, external URLs works fine. Zed ignores ".schema" folder from the resolution, no matter when using dot "." or not, it ...
Google's Rich Results tool can show incorrect data when used for debugging structured data, which is where Schema.org's Validator can be helpful. A recent discussion in a Facebook SEO group ...
OpenAI’s implementation of ChatGPT structured outputs in its API, directly addresses challenges posed by unstructured outputs, making sure consistency and precision. Through engineering and ...
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