Abstract: Agile Product-Based Learning (Agile PdBL) promotes rapid product development in educational settings but often results in challenges related to code structure and maintainability. While ...
Thousands of credentials, authentication keys, and configuration data impacting organizations in sensitive sectors have been sitting in publicly accessible JSON snippets submitted to the JSONFormatter ...
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 ...
After using response_format={type:"json_object"} for structured output, all the markdown code block syntaxes in the model's output are incorrect. For example, ```javascript outputs as javascript, and ...
Everyone’s talking about JSON prompting like it’s the next big thing in AI. Look, here’s the deal. Just like every other “revolutionary” AI technique that gets hyped up, JSON prompting isn’t the only ...
Meta has refused to sign the European Union’s code of practice for its AI Act, weeks before the bloc’s rules for providers of general-purpose AI models take effect. “Europe is heading down the wrong ...
Senior iOS Engineer with over 12 years of experience developing scalable, user-focused apps using Swift, SwiftUI, UIKit, and more. Senior iOS Engineer with over 12 years of experience developing ...
The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...
Abstract: Adversarial code examples are important to investigate the robustness of deep code models. Existing work on adversarial code example generation has shown promising results yet still falls ...
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