2.8 β Demo: Prompt Playground π§ͺ
π’ In plain words β one same request, four ways to phrase it. Watch how the prompt changesβ¦ and how the output changes with it.
One task, four techniques. Compare the prompt sent and the output for the Zero-shot, the Few-shot, the Chain-of-Thought (reasoning revealed step by step) and the Tree-of-Thoughts (branches explored then pruned).
Prompt Playgroundβ one task, four techniques
The taskCustomer message: "This is the 3rd time my order arrives late, this is unacceptable." β Give the urgency (1-5), the tone, and a short reply.
Prompt sent
Classify this customer message (urgency, tone) and propose a reply. Message: "β¦order late, unacceptable."
Simulated output
The customer is unhappy. Reply: "We're sorry for the delay, we're looking into it."
Fast, but the format is unstable: no numeric urgency, no explicit tone. Fine for a simple task.
β οΈ Educational simulation in your browser (no real AI called). The point: feel how prompt structure changes output quality.
π My note
A training byBaxIA