Learn how to ask a question on ChatGPT to get accurate and relevant answers.
Thanks to prompting techniques and concrete examples, you can harness the full potential of this language model developed by OpenAI and complete complex tasks faster. According to OpenAI, clear wording increases the relevance of responses generated by large language models by 30%.
Prompting techniques
Zero-Shot Prompting:
This method involves directly asking ChatGPT a question without providing an example . It is useful for obtaining a quick answer or testing the model's ability to interpret a new instruction.
Example :
- Ask ChatGPT to summarize a recent article on AI in 3 sentences.
- Request a list of synonyms for a specific word.
User benefit: quick and simple for immediate answers, but accuracy may vary.
Few-Shot Prompting:
You provide ChatGPT with a few examples so it understands exactly what you expect. This technique improves the quality of responses and reduces generic answers.
Example :
- Ask ChatGPT to rephrase these sentences in your style, providing 2 prior examples.
- Request grammatical correction of sentences, with 2 corrected sentences as a model.
User benefit: Increases accuracy and adaptation to context.
Chain-of-Thought Prompting: Breaking down complex questions
For tasks requiring reasoning, this method involves detailing the steps in the question. This allows the model to follow a logical pattern and provide a structured answer.
Example :
- Calculate the total of a basket: add the prices of the products then apply a 10% discount.
- Plan an itinerary to visit three cities in an optimized order.
User benefit: ideal for complex tasks and error reduction.
Self-Consistency: Choosing the most reliable answer
Ask for multiple answers to the same question and select the one that is most consistent or useful .
Example :
- Suggest 3 title ideas for an article, then choose the best one.
- Request 3 versions of a prospecting email and select the clearest one.
User benefit: allows filtering responses and providing reliable answers .
Iterative Prompting: Building the Response Step by Step
You ask successive questions to refine the answer. This allows ChatGPT to better guide you .
Example :
- Start by asking for a summary of a text, then specify that you want the key points in bullet point form.
- First ask for content ideas, then elaborate on each idea in a later step.
Directional Stimulus and Generated Knowledge
These methods consist of giving precise instructions on format or tone and/or asking for facts first before generating a response .
Example :
- Write a 100-word summary on the latest AI trends, starting by listing 5 key facts.
- Asking a non-expert audience for a simple explanation of a technical concept.
- User benefit: ensures responses tailored to the specific need and improves the quality of content.
Why is this essential?
Mastering these prompting techniques allows you to ask ChatGPT questions precisely, even for complex tasks , and obtain reliable and actionable answers. According to OpenAI, clearly worded prompts increase the relevance of responses from large language models by 25 to 30% . These methods help provide useful answers , reduce errors, and maximize the potential of the text generator .
