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A comprehensive set of flashcards reviewing key concepts, terms, and implications associated with generative AI and its impact on various industries.
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What is generative AI (GenAI)?
A type of AI where a request is provided, and the AI generates some sort of creative output.
What is the difference between generative AI and traditional AI?
Generative AI creates new content based on user prompts, while traditional AI typically processes existing data.
What does OpenAI do in the context of GenAI?
OpenAI has popularized GenAI and developed models like ChatGPT.
What is an example of a controversial release in generative AI?
The public release of ChatGPT 3.5 by OpenAI.
What is AI hallucination?
When an AI provides answers that are incorrect but presented convincingly.
What role do prompts play in generative AI?
Prompts are user requests that guide the output generated by generative AI systems.
What is a large language model (LLM)?
A type of AI used for general-purpose language understanding and generation.
What are parameters in the context of AI models?
Values used to determine text elements and relationships within models.
What is the 'AI winter'?
A period of reduced interest in and funding for AI projects due to unmet expectations.
What is prompt engineering?
The practice of designing inputs for generative AI tools to produce optimal outputs.
How does AI risk include bias?
AI can reflect and exacerbate societal biases, leading to discrimination.
What is the Turing Test?
A test of a computer's ability to exhibit behavior indistinguishable from a human.
What is the concept of deepfakes?
Media generated by AI that attempts to mimic real people or events.
What is self-supervised learning?
A type of machine learning where data is not explicitly labeled.
What is reinforcement learning from human feedback?
A machine learning training technique using rewards and human evaluators to improve performance.
What is the 'black box' problem in AI?
The difficulty in understanding how complex AI models make their decisions.
What is generative AI's impact on office productivity tools like Microsoft 365?
Generative AI enhances user interaction through features like Microsoft 365 Copilot.
What ethical considerations arise from AI-generated content?
Concerns include potential copyright issues and the propagation of misinformation.
What unique challenges do managers face relating to AI implementation?
Challenges include data quality, security, and ensuring diverse representation in AI development.