Mastering AI in 30 Days: A Seven-Step Roadmap

These flashcards summarize key concepts from the lecture on effectively mastering AI in 30 days.

Machine English is a way of structuring your prompts to help AI compute your intent more effectively, rather than just trying to comprehend vague language.

What is machine English in the context of AI?

The AIM framework consists of A for Actor (tell the AI who to be), I for Input (give context and data), and M for Mission (state what you want the AI to do).

What is the AIM framework when prompting AI?

Context provides the necessary grounding for AI to understand and generate accurate responses; without it, AI may produce vague or irrelevant outputs.

Why is context important when using AI?

MAP consists of M for Memory (conversation history), A for Assets (files and data attached), and P for Prompt (the instruction itself) to provide rich context.

What does the MAP framework entail in AI prompting?

Debug your thinking by iterating your prompts and ensuring correct persona, context, and goals, often by asking the AI about its reasoning.

What should you do when your AI outputs seem weak?

Direct the AI to use specific experts or frameworks in its responses to enhance the depth and quality of the output.

What is meant by 'steering to experts' when using AI?

Verification is crucial because AI can generate incorrect or fabricated information; you should always check the assumptions, sources, and evidence behind AI outputs.

What is the importance of verification when using AI?

The ocean framework includes criteria like Non-obvious ideas, Concrete examples, Evident reasoning, Assertiveness, and Narrative flow to refine and add taste to AI outputs.

How does the ocean framework improve AI responses?