Generative AI

Executing LLM-Generated Code

Executing LLM-Generated Code Safely: A Guide to Sandboxing Solutions

Generative AI models that write code like GitHub Copilot, ChatGPT, and specialised coding assistants have transformed how developers work. These tools can generate entire functions, debug complex issues, and even create complete applications from natural language descriptions. However, this powerful capability comes with significant risks: what happens when we actually run the code these AI models […]

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Evaluating Large Language Models: A Comprehensive guide on Metrics, Methods, and Best Practices

The rise of Large Language Models (LLMs) like GPT-4, Claude, and Llama has reshaped technology—from writing code and emails to powering advanced chatbots. Their abilities often feel magical, but for developers, product leaders, and researchers tasked with integrating this power into real-world applications, a critical question emerges: How do you move beyond impressive demos and

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