AI From Zero - Guidelines to Exercises - Lesson 6
Guidelines to Exercises - AI From Zero - Lesson 6: Smart vs. Just Fast: Understanding AI's Capabilities in Depth
What is the main difference between a traditional computer program and AI, in terms of how they solve problems?
Guideline: The key lies in their ability to learn and adapt versus strictly following pre-written instructions.
Correct Answer: b) Ability to learn from new information.
When AI "makes guesses," what are those guesses primarily based on?
Guideline: The source of AI's "intelligence" is the raw material it's fed.
Example Answer: AI's guesses are primarily based on the vast amounts of data it was trained on, allowing it to recognize patterns and make predictions.
Why might an AI's "fast" answer not always be the "smarter" or correct one?
Guideline: Consider AI's limitations, such as its inability to truly understand context or its susceptibility to "hallucinations." Speed doesn't equal accuracy or deep understanding.
Example Answer: An AI's fast answer might not be smart because it doesn't truly understand meaning or context, and it might "hallucinate" false information. Speed doesn't guarantee accuracy or common sense.
True or False: Information you enter into a general AI tool is always kept completely private and is never used for training.
Guideline: Be cautious about assumptions regarding data privacy with public AI tools. Always check their privacy policies. Many public tools use user interactions to improve their models.
Correct Answer: False.
True or False: AI "hallucinations" are intentional lies from the AI.
Guideline: Remember that AI doesn't have intentions or consciousness. Hallucinations are a result of how the AI generates text, not a deliberate act.
Correct Answer: False.
Why is "copyright" an important consideration when using Generative AI for creative content?
Guideline: Generative AI learns from existing content. This raises questions about ownership of the output and potential infringement if the AI's training data included copyrighted works.
Example Answer: Copyright is important because Generative AI creates new content based on patterns learned from existing data, some of which might be copyrighted. This means there can be questions about who owns the AI-generated work or if it might unintentionally infringe on existing copyrights.
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