Do you know generative ai?

What does generative AI aim to accomplish?

• Analyze existing data and extract insights

• Perform specific tasks based on pre-defined rules

• Create new content based on learned patterns

• Identify anomalies or outliers in a dataset

What is the main difference between traditional AI and generative AI?

• Traditional AI is rule-based and solves specific problems, while generative AI creates new content based on learned patterns

• Traditional AI generates new content, while generative AI is rule-based and solves specific problems

• Traditional AI and generative AI are the same and can be used interchangeably

• Traditional AI uses machine learning to create new content, while generative AI follows pre-programmed instructions

What is the purpose of a language model in generative AI?

• To tokenize and encode input prompts

• To analyze a large corpus of text and predict the next word in a sequence

• To preprocess and format generated responses

• To deliver output to the frontend or user interface

What does the term "hallucination" refer to in the context of generative AI?

• The input or instruction given to a generative AI model to generate content

• The tendency of models to generate unrealistic or nonsensical data

• The process by which a generative AI model generates output based on a prompt

• The ability of a generative AI model to perform a task without specific training examples

What is one of the key risks associated with the security of generative AI systems?

• Optimization challenges in model training

• Inadequate computational resources for inference

• Data breaches and unauthorized access

• Lack of user interface responsiveness