Okay, let's break down three examples of one-shot prompts.
What is a One-Shot Prompt?
A one-shot prompt provides the AI with exactly one example of the task you want it to perform, in addition to the instructions. This single example helps the model understand the desired format, style, or specific type of transformation you're looking for, which might be ambiguous from instructions alone. It's more specific than zero-shot (no examples) but less data-intensive than few-shot (multiple examples).
Example 1: Extracting Specific Information into a Structured Format
Goal: Extract the product name and its price from a short description and format it as "Product: [Name], Price: [Price]".
The Prompt:
Extract the product name and price from the text, formatting it exactly like the example. Example: Text: "Get the amazing new HydroFlask water bottle today for only $35.99!" Output: Product: HydroFlask water bottle, Price: $35.99 Now, process this text: Text: "The latest QuickCharge Pro power bank is available on our website, listed at €49.50." Output:Explanation:
Instruction: Extract the product name and price from the text, formatting it exactly like the example. - This tells the AI the basic task (extraction) and emphasizes following the format shown.
One-Shot Example:
Text: "Get the amazing new HydroFlask water bottle today for only $35.99!" - This is the input for the example.
Output: Product: HydroFlask water bottle, Price: $35.99 - This is the desired output format for the example input. It clearly shows the labels ("Product:", "Price:") and how the extracted information should be placed.
New Input: Now, process this text: Text: "The latest QuickCharge Pro power bank is available on our website, listed at €49.50." - This provides the new text the AI needs to work on.
Implicit Request for Output: Output: - This signals to the AI where to generate its response based on the new input, following the pattern established by the example.
Why One-Shot is Useful Here: Simple instructions like "extract product and price" could lead to various outputs (e.g., bullet points, just the values, different labels). The single example removes ambiguity and forces the AI to adhere to the specific Product: ..., Price: ... structure.
Example 2: Changing Sentence Tone (Formal to Informal)
Goal: Rewrite a formal sentence into a more casual, informal style.
The Prompt:
Rewrite the formal sentence provided into a more informal and casual tone, similar to the example. Example: Formal Sentence: "Kindly forward the requested documentation at your earliest convenience." Informal Rewrite: "Hey, can you send over those documents when you get a chance?" Now, rewrite this formal sentence: Formal Sentence: "It is imperative that all attendees arrive punctually for the commencement of the seminar." Informal Rewrite:Explanation:
Instruction: Rewrite the formal sentence provided into a more informal and casual tone, similar to the example. - Clearly states the task (tone change) and directs the AI to mimic the style demonstrated.
One-Shot Example:
Formal Sentence: "Kindly forward the requested documentation at your earliest convenience." - The input style for the example.
Informal Rewrite: "Hey, can you send over those documents when you get a chance?" - The target style for the output. This example shows concrete changes like using contractions ("can you"), less formal phrasing ("send over" instead of "forward", "when you get a chance" instead of "at your earliest convenience"), and a casual opening ("Hey").
New Input: Now, rewrite this formal sentence: Formal Sentence: "It is imperative that all attendees arrive punctually for the commencement of the seminar." - The new formal sentence for the AI to transform.
Implicit Request for Output: Informal Rewrite: - Prompts the AI to generate the informal version of the new sentence, following the style shown in the example.
Why One-Shot is Useful Here: "Make it informal" is subjective. The example provides a specific flavor of informality (conversational, slightly colloquial) for the AI to emulate, rather than letting it guess what level or type of informality is desired.
Example 3: Generating Creative Text Following a Pattern (Simple Analogy)
Goal: Create a simple analogy explaining a technical concept, following a specific structure: "[Concept] is like [Analogy Thing] because [Reason]".
The Prompt:
Explain the technical concept using a simple analogy, following the structure shown in the example. Example: Concept: Computer RAM Analogy: Computer RAM is like a workbench because it's where the computer keeps the tools and materials (data) it's actively working on for quick access. Now, create an analogy for this concept: Concept: Website Cookie Analogy:Explanation:
Instruction: Explain the technical concept using a simple analogy, following the structure shown in the example. - Tells the AI the task (create an analogy) and specifies that it must adhere to the demonstrated pattern.
One-Shot Example:
Concept: Computer RAM - The input concept for the example.
Analogy: Computer RAM is like a workbench because it's where the computer keeps the tools and materials (data) it's actively working on for quick access. - The desired output. This shows the exact sentence structure: [Concept] is like [Analogy Thing] because [Reason]. It also demonstrates the type of analogy desired (simple, relating to everyday objects/concepts).
New Input: Now, create an analogy for this concept: Concept: Website Cookie - Provides the new technical concept the AI needs to explain.
Implicit Request for Output: Analogy: - Signals the AI to generate the analogy for the new concept using the structure and style from the example.
Why One-Shot is Useful Here: While the AI could generate an analogy without an example, the one-shot prompt enforces a very specific output structure (... is like ... because ...) and guides the type of simple, explanatory analogy required, making the output more predictable and aligned with the user's specific need.
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