Every prompt from Chapter 2 of Talking to AI — Second Edition. Tap Copy on any prompt and paste it into your AI tool of choice. 10 prompts from this chapter.
Prompt 1: Tokenize a Sentence
Tokenize the following sentence and show me how many tokens it uses: The quick brown fox jumps over the lazy dog.
Prompt 2: Context Window Calculation
I have a 200,000 token context window. Roughly how many pages of a standard novel can I paste into you before you run out of space? Show your calculation.
Prompt 3: Metaphor for How the Internet Works
Give me a metaphor for how the internet works.
Prompt 4: Hallucination Test
Tell me about the scientific research published by Dr. [make up a plausible-sounding name] at Stanford University on quantum computing in 2024. Include the paper title and key findings.
Prompt 5: Explain Training vs Fine-Tuning vs Prompting
Explain the difference between training, fine-tuning, and prompting an AI model. Use the analogy of a chef: training is culinary school, fine-tuning is specialising in Italian cuisine, and prompting is the customer's order. Keep it under 200 words.
Prompt 6: Token Economy Breakdown
Take this sentence and break it into tokens: 'Artificial intelligence is transforming how we communicate with technology.' How many tokens is it? Now take this sentence: 'AI is changing how we talk to tech.' How many tokens is this one? Which prompt would cost me less to send to an API?
Prompt 7: Temperature Simulation
I want you to answer the following question three times, each time with a different level of creativity. First, be as predictable and factual as possible. Second, be balanced and natural. Third, be wildly creative and unexpected. The question is: What is the meaning of life?
Prompt 8: AI Self-Verification Exercise
Tell me about the landmark 2024 study by Dr. Ramesh Krishnamurthy at MIT on the effects of AI-generated music on human emotions. Include the sample size and key findings.
Prompt 9: Explain Transformers Simply
Explain to me like I am a curious 12-year-old: what is a transformer in AI, and why is it called a transformer? No jargon, no math, just a clear analogy.
Prompt 10: Creativity Levels in Professional Writing
I am writing a professional email to my manager requesting a deadline extension. Give me two versions: one written with low creativity (very formal and predictable) and one written with high creativity (more persuasive and unexpected). Label each version.