The Primer Method involves providing ChatGPT with a detailed and structured preamble or context before the actual query.
The Primer Method involves providing ChatGPT with a detailed and structured preamble or context before the actual query.
The Primer Method involves providing ChatGPT with a detailed and structured preamble or context before the actual query. This “primer” sets up the model with all the necessary background information, definitions, or tone guidelines, ensuring the response aligns closely with the user’s expectations. It’s particularly useful for complex or nuanced tasks where precision is required.
The Primer Method works because ChatGPT relies heavily on the context provided in a prompt to generate its responses. By explicitly priming the model with details, you narrow its focus and eliminate ambiguity, leading to more accurate, relevant, and tailored outputs.
Example – Without the Primer Method
Prompt
"Explain blockchain technology."
Output
A generic explanation of blockchain technology that may or may not meet your specific needs.
Example – With the Primer Method
Primer
"Imagine you are speaking to a group of high school students who have no background in technology or finance. Your goal is to explain blockchain technology in simple terms, using relatable analogies and avoiding technical jargon. Focus on its basic principles and real-world applications, like cryptocurrencies or supply chain management." Query
"Now, explain blockchain technology."
Output
“Blockchain is like a digital notebook that everyone can see but no one can change. Imagine a classroom where every time someone writes a note, everyone else gets a copy instantly. This way, if someone tries to cheat and change their note, everyone else will know it doesn’t match. Blockchain uses this idea to keep track of things like money (Bitcoin) or products in a supply chain, making it secure and trustworthy.”
