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 ...
2.3.1. Property JSON config > logo > oneOf > item 2 > type 2.3.2. Property JSON config > logo > oneOf > item 2 > source 2.3.3. Property JSON config > logo > oneOf ...
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 ...
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 ...
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 ...
Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...
Shows you how to use the Stream Analytics no code editor to create a job that captures Event Hubs data in to Azure Data Lake Storage Gen2 in the parquet format. This tutorial shows you how to use the ...
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 ...
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 ...
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