Quest 1 • Lesson 8
📖 Large Language Models & Prompt Engineering
Large Language Models (LLMs) are AI models trained on vast amounts of text data to understand and generate human‑like language. They power chatbots, translation, summarisation, and more. Prompt engineering is the art of crafting inputs to get the best outputs from these models.
"A well‑written prompt is like asking a clear, specific question – it guides the model to give you exactly what you need."
🧠 How LLMs Work (Simplified)
- Transformers – the architecture behind most LLMs (GPT, BERT, etc.).
- Training – models are trained on billions of words to predict the next word in a sequence.
- Inference – given a prompt, they generate new text by predicting one word at a time.
- Parameters – model size (e.g., 7B, 70B) affects capability and cost.
✍️ Prompt Engineering Principles
- Be specific – vague prompts yield vague answers.
- Provide context – give background or examples (few‑shot prompting).
- Set a role – "Act as a teacher / expert / critic".
- Define output format – "List as bullet points", "Write a paragraph".
- Use constraints – "Keep it under 50 words", "Avoid technical jargon".
- Iterate – experiment with different phrasing.
🚀 Live Demo: Prompt Playground
Write a prompt and click "Send" to see how a language model responds. Adjust temperature (creativity) and max tokens (length).
Temperature (creativity)
0.7
Max tokens
150
Response will appear here.
📘 How the demo works
This demo uses the Hugging Face Inference API with a free model (google/flan-t5-base) – no API key required. The model is small but gives reasonable responses. If you encounter rate limits, try again in a few seconds.
📌 Examples of Effective Prompts
Vague: "Tell me about AI."
Improved: "Explain AI in three bullet points for a 10‑year‑old."
Improved: "Explain AI in three bullet points for a 10‑year‑old."
Vague: "Write a poem."
Improved: "Write a haiku about the ocean, focusing on waves and the sunset."
Improved: "Write a haiku about the ocean, focusing on waves and the sunset."
Vague: "How to learn Python?"
Improved: "Give a step‑by‑step learning plan for a complete beginner to learn Python in 3 months, with daily tasks."
Improved: "Give a step‑by‑step learning plan for a complete beginner to learn Python in 3 months, with daily tasks."
✨ Challenge: Write an Effective Prompt
Write a prompt that asks a language model to:
- Explain the concept of "bias in AI" to a non‑technical audience.
- Include an example.
- Keep it under 100 words.
"Explain bias in AI in simple terms for someone with no technical background. Use a real‑world example (like hiring or lending). Keep your explanation under 100 words."
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Next lesson: Building a Chatbot – combine everything into a project.
Continue to Lesson 1.9 →(Coming soon – check back or buy Pro Pack for instant access)