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 ...
Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...
Choose from auto-detected languages Edit in a new tab with syntax highlighting Press Ctrl+S to save and sync back Note: Language detection is built into the extension and cannot be customized by users ...
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 ...
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 ...
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 ...
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A high-severity security flaw has been disclosed in Meta's Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the ...
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 ...
On Tuesday, Tokyo-based AI research firm Sakana AI announced a new AI system called “The AI Scientist” that attempts to conduct scientific research autonomously using AI language models (LLMs) similar ...
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