Comparing AI Tools: Strengths & Limits
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What you will learn
- 1Match common AI tools to the tasks they do best
- 2Describe the strengths and limits of generative AI
- 3Verify AI answers against a trusted source before using them
- 4Apply responsible-use habits when working with AI
Mini Lesson
Generative AI tools can write, draw, translate, summarize, and even suggest code. Each tool has things it does well and things it gets wrong. It is your responsibility as a user to pick the right tool for the job and double-check the answer before trusting it.
Common AI Tools and What They Do
- Chatbot — answers questions and helps you brainstorm.
- Image generator — turns a text prompt into a picture.
- Translator — converts text from one language to another.
- Summarizer — shortens a long article into key points.
- Voice transcriber — turns spoken audio into written text.
- Coding assistant — suggests code snippets and explains errors.
Strengths of Generative AI
- Instant answers, day or night.
- Works in many languages at once.
- Endless variations of an idea on demand.
- Can summarize long articles in seconds.
- Suggests options when you feel stuck.
Limitations to Watch Out For
- Can be confidently wrong — the answer sounds sure even when it is not.
- No real understanding — it predicts words, it does not think.
- Biased data — it reflects what was in its training material.
- Cannot verify itself — it does not check its own facts.
- May forget earlier parts of a long conversation.
- Costs energy and water to run, every single prompt.
Words to know
generative AI
Software that creates new text, images, audio, or code from a prompt.
strength
Something a tool does well or quickly.
limitation
Something a tool cannot do, or does poorly.
responsibility
The duty to use a tool safely, honestly, and respectfully.
verification
Checking an answer against a trusted source before you trust it.
Tip: never share your full name, address, password, or a friend’s info in an AI prompt. Treat the chat box like a public room.
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