AI Concepts and Prompt Engineering

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What is a hallucination in the context of LLM models?

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A situation where a LLM model generates output that is factually incorrect or misleading, often presenting it as if it were true.

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What does LLM stand for and what does it do?

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LLM stands for Large Language Model, a type of AI model that uses machine learning to understand and generate human language, often based on massive datasets of text and code.

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Why is clarity important in prompts?

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Clarity is important to use clear and concise language in prompts to avoid ambiguity.

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How does specificity improve AI responses?

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Being specific about the desired outcome or information helps in generating better responses.

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Why is context important in prompt engineering?

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Understanding context helps improve the quality of the AI's response.

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What are the two most important characteristics of a good prompt?

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Clarity and Specificity.

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What is prompt engineering?

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The process of crafting precise instructions (prompts) to guide generative AI models and elicit the best possible output.

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Why is human input necessary in AI engineering?

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Human input is necessary to check for bias and hallucinations in prompt responses.

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What is bias in AI systems?

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Bias refers to AI systems producing results that reflect and perpetuate human preference, including historical and current social inequalities, which can lead to unfair or discriminatory outcomes.