Q1: What is anthropomorphism in the context of AI?
- A: A process of reasoning where AI models deduce conclusions based on learned patterns.
- B: Assigning human characteristics to AI, even though it lacks consciousness or emotions.
- C: The tendency of AI to produce outputs that reflect biases present in its training data.
- D: A technique where AI models learn through trial and error, receiving feedback to improve their actions
Answer: B
Q2: What does 'context window' refer to in AI?
- A: A conversational interface that allows users to interact with AI models.
- B: A type of AI model that can generate various forms of content, such as text, images, and videos.
- C: The maximum number of tokens an AI model can process at once.
- D: A measure of the complexity and scale of an AI model, often represented by the number of its parameters
Answer: C
Q3: What is meant by 'emergent behavior' in AI?
- A: Unexpected capabilities displayed by large language models, beyond their intended functions.
- B: Errors made by AI models, resulting in factually incorrect or illogical outputs.
- C: The process of training AI models using vast amounts of data.
- D: A technique used to improve the accuracy of AI-generated responses by providing intermediate reasoning steps
Answer: A
Q4: What is a 'token' in AI?
- A: A subfield of AI focused on enabling machines to understand and generate human language.
- B: A type of AI model that learns by identifying patterns in data.
- C: A numerical value set by developers that influences the structure and behavior of an AI model.
- D: The smallest unit of text processed by an AI model, often a fraction of a word
Answer: D
Q5: What is a 'Transformer Model' in AI?
- A: A type of neural network architecture that processes sentences simultaneously, allowing for better context understanding.
- B: A method of training AI models where they learn through trial and error and feedback.
- C: A statistical measure used to evaluate the performance of AI models.
- D: A technique used to reduce bias in AI model outputs
Answer: A
Q6: What is 'Generative AI'?
- A: A type of AI model specifically designed for generating images.
- B: AI that creates various content formats by learning patterns from data.
- C: A method for detecting and correcting errors in AI-generated content.
- D: A technique for improving the efficiency of AI model training
Answer: B
Q7: What does 'hallucination' mean in the context of AI?
- A: A method for training AI models using reinforcement learning.
- B: A type of neural network architecture used in natural language processing.
- C: Instances where AI models generate factually incorrect or illogical outputs.
- D: A measure of the uncertainty associated with AI model predictions
Answer: C
Q8: What is a 'Large Language Model (LLM)'?
- A: Neural networks trained on vast amounts of text data, capable of generating human-like text.
- B: A type of AI model used for image recognition and classification.
- C: A software program used to interact with AI models.
- D: A hardware component specifically designed for AI processing
Answer: A
Q9: What is 'Natural Language Processing (NLP)'?
- A: A programming language used for developing AI models.
- B: A branch of AI focused on enabling computers to understand and process human language.
- C: A type of machine learning algorithm used for classification tasks.
- D: A method for evaluating the performance of AI models
Answer: B
Q10: What are 'Neural Networks'?
- A: A type of AI model that learns by mimicking human behavior.
- B: A software program used for training AI models.
- C: A mathematical system modeled after the human brain that learns by analyzing data patterns.
- D: A hardware component used for accelerating AI computations
Answer: C