LLMs

We’ve all played with ChatGPT, Copilot, or Claude — typing in questions and marveling at their responses. But behind the scenes, there’s a powerful craft at play: prompt engineering. It’s not just about “asking a question.” It’s about how you phrase it, structure it, and guide the model. Prompt engineering is the new programming skill — and it’s transforming how we interact with AI. 🧠 What Is Prompt Engineering? Prompt engineering is the process of designing effective input prompts that guide large language models (LLMs) like GPT-4 to produce accurate, helpful, or creative outputs. ...

In the world of machine learning, especially with the rise of large language models (LLMs) and deep neural networks, model extraction attacks are a growing concern. These attacks aim to replicate the behavior of a machine learning model by querying it and then using the responses to reverse-engineer its underlying architecture and parameters. What is a Model Extraction Attack? A model extraction attack occurs when an adversary tries to replicate a machine learning model by making repeated queries to it and analyzing its responses. The goal of the attacker is to create a new model that mimics the target model’s functionality, often without direct access to its architecture or parameters. ...