In Context prompting supplies relevant background information directly within the input, allowing the AI to produce responses that are informed and nuanced by the provided details, particularly beneficial for domain-specific queries or when prior knowledge is essential for accuracy, and the analogy is like giving a storyteller the setting and characters before asking for the plot, ensuring the tale fits seamlessly into the established world.
Examples
User Prompt: In the context of World War II, who was Winston Churchill? AI Response: British Prime Minister who led the UK to victory.
User Prompt: In the context of programming, what is a loop? AI Response: A structure that repeats a block of code until a condition is met.
User Prompt: In the context of cooking, how to boil an egg? AI Response: Place in boiling water for 10 minutes, then cool.
Advantages
- Improves relevance by incorporating specific context, enhancing prompt efficiency for domain-focused queries.
- Reduces ambiguity in responses, leading to more accurate outputs without additional clarification.
- Boosts adaptability for tasks requiring background knowledge, making prompts versatile for specialized topics.