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99% of Beginners Don't Know the Basics of AI

99% of Beginners Don't Know the Basics of AI

Jeff Su

3M views 2 years ago

Warm-up Questions

What do you think the “basics of AI” are for beginners?
Why might someone take an “AI Essentials” course from Google?
Do you think a certificate can help you get a better job? Why or why not?

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Start With: Word Definition

Order: Alphabetical Random

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99% of Beginners Don't Know the Basics of AI

Why the speaker took the course + 3 types of AI tools (00:00 – 02:50)

Transcript will load here…

1. What is the speaker’s main purpose for making this video?

To share key takeaways plus pros/cons from an AI beginner course
To review dating apps that use AI
To teach advanced coding for building AI models

2. Which of these is described as a standalone AI tool?

Google Docs
Google Slides
Perplexity

3. What is one example of a custom AI solution mentioned?

An AI system designed to detect sepsis
A chatbot built into Google Slides to make images
A grammar checker inside Google Docs

99% of Beginners Don't Know the Basics of AI

Course deal + prompting tips: implied context, zero/few shot, chain of thought (02:50 – 06:54)

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1. What does the speaker recommend doing with “implied context” when prompting an AI tool?

Make it explicit so the AI understands your situation
Leave it out so the AI can be more creative
Replace it with jokes to make the AI respond faster

2. In the video, what does the word “shot” mean in prompting?

The amount of money you pay for the tool
The number of examples you provide
The number of minutes you wait for an answer

3. What is the main idea of chain-of-thought prompting for complex tasks?

Divide one task into more manageable steps
Ask the AI to answer in one sentence only
Use only images instead of text prompts

99% of Beginners Don't Know the Basics of AI

Limitations of AI + who the course is for + pros and cons (06:54 – 10:12)

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1. Which is NOT one of the three main limitations of AI mentioned?

Biased training data
Guaranteed perfect accuracy on recent events
Hallucinations (factually inaccurate outputs)

2. What does the speaker suggest you do for “high stake tasks”?

Avoid using any data at all
Always trust the first answer
Double check the AI’s answer

3. According to the speaker, one advantage of the course is that it includes:

Daily live coaching calls with recruiters
A guarantee of a salary increase
A curated list of AI tools for beginners and a glossary of terms

99% of Beginners Don't Know the Basics of AI

Transcript will load here…

1. Which choice best describes the difference between a standalone AI tool and integrated AI features?

Standalone tools can be accessed directly, while integrated features are built into another software product
Standalone tools only work offline; integrated features only work online
Standalone tools are always custom-made, while integrated features are always free

2. Why can AI outputs be lower quality if you leave out important details in your prompt?

Because AI models only understand very short prompts
Because AI tools refuse to answer without personal information
Because the AI may produce generic output without your specific context

3. What is a practical reason to use few-shot prompting?

To give the AI multiple relevant examples so the output matches what you want
To prevent the AI from using any prior training data
To make the AI answer more slowly but more politely

Discussion Questions

Discuss the ideas from this video

99% of Beginners Don't Know the Basics of AI

Which of the three types of AI tools (standalone, integrated features, custom solutions) would help you most in your work or studies? Why?
Think of a time you got a generic answer from an AI tool. What implied context could you add to improve the result?
For what tasks do you think you must double-check AI answers? Give two examples.
Do you agree that a beginner AI course should focus on concepts rather than deep use cases? Why or why not?

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