AI Questions
What is LLM Poisoning? LLM Poisoning ( (Large Language Model) ) is when someone intentionally feeds misleading, false, or harmful data into the training process of an AI model. This “poisons” the model, causing it to generate incorrect, biased, or dangerous responses—like teaching a parrot lies so it repeats them. How Does It Work? Imagine […]
What is Fuzz Testing? Fuzz Testing (or Fuzzing) is an automated software testing technique that bombards systems with invalid, random, or malformed inputs to uncover crashes, vulnerabilities, or unexpected behavior. Features of Fuzzing Aspect Description Goal Find security flaws, crashes, memory leaks, or edge-case failures Input Generation Random/malformed data (strings, binaries, adversarial prompts) Scope APIs, […]
What is Prompt Injection? Prompt Injection is a type of attack that exploits vulnerabilities in AI models, particularly large language models (LLMs), by manipulating the input prompts to influence or control the model’s output in unintended ways. This attack typically involves crafting input data (the prompt) to trick or mislead the model into generating harmful, […]
Zero-Shot and Few-Shot Prompting Below are some of the differences between Zero-Shot and Few-Shot Prompting techniques: Aspect Zero-Shot Prompting Few-Shot Prompting Definition The model is prompted to perform a task without any prior examples or specific instructions. The model is provided with a few examples to guide its response. Examples Provided No examples are given […]
Linear Regression vs Logistic Regression Let’s look at some of the differences between linear regression and logistic regression in this tutorial. Linear Regression Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It predicts continuous output values based on the input features. Logistic […]
What does the training phase of an AI model refer to? a) The process of making predictions on new datab) The phase where the model learns from historical datac) The process of evaluating the model’s accuracyd) The phase where the model is deployed to users Correct Answer b) The phase where the model learns from […]