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Effective communication with an artificial intelligence (AI) like ChatGPT requires precision and clarity in the formulation of questions or instructions, known as "prompts."
To take full advantage of AI capabilities, it is essential to write prompts in a way that is specific, complete and well-structured.
In this sense, the user must provide sufficient context and clearly define the objective of the interaction, which allows the AI to understand more accurately what type of information or result is expected. This is key both in simple tasks and in more complex activities, from obtaining brief answers to generating detailed texts or technical solutions.
By mastering the skill of creating appropriate prompts, the user not only improves the efficiency of the interaction, but also reduces the need for subsequent corrections or clarifications.
Index
How to write the best prompts to communicate efficiently with an artificial intelligence
What is prompt engineering?
Key elements of a good prompt
General tips for creating good prompts with ChatGPT
Ideal structure of a prompt
Advanced prompt engineering techniques for ChatGPT
Techniques to improve ChatGPT responses with advanced prompts
Common mistakes when writing prompts
Practical use cases of prompts for ChatGPT
How to write the best prompts to communicate efficiently with an artificial intelligence
An AI can produce impressive results if given the right information from the start, making the ability to write prompts an essential tool for communicating with this type of technology effectively and productively.
Over the next few sections, we'll explore some key techniques for improving your prompt writing and producing more accurate and useful responses.
What is prompt engineering?
Prompt engineering is the art of formulating the instructions you give to an artificial intelligence to get the best possible response.
Prompt refers to the instruction or input you provide to a model like ChatGPT.
Prompt engineering involves using advanced techniques and strategies to formulate questions or instructions in a precise and structured manner, which optimizes interaction with an artificial intelligence such as ChatGPT.
By carefully crafting a prompt, you provide clear and specific context, allowing AI to better understand the request and generate more relevant and detailed responses. For example, a well-structured prompt can include details about the desired tone, the format of the response, or even key aspects to highlight. This precision not only improves the quality of responses, but also reduces ambiguity, minimizing the need for later corrections.
Additionally, prompt engineering uses strategies such as breaking down complex tasks into simpler subtasks or creating multiple related questions to obtain deeper answers. Techniques such as context tuning, where additional information is provided to help AI better process the topic, can also be applied.
These strategies are essential to ensure that the AI model delivers information that is accurate, complete and in line with user expectations, resulting in a more efficient workflow and much more satisfying interactions.
Key elements of a good prompt
A good prompt includes several elements that guide the model toward a more accurate response. These elements may vary depending on the context and task, but generally they can be broken down into:
Persona : Specify who you want the model to be (eg, a teacher, a history expert, a programmer).
Context : Provides information that helps to better understand the task.
Instructions : Clearly define what you want the model to do.
Examples : Providing examples can guide AI toward more accurate answers.
Format : Specify how you want the response to be presented (list, paragraphs, tables, export to a pdf file, export to an Excel file, etc.).
Tone : Define whether you want the response to be informal, professional, etc.
dialogue with an artificial intelligence
General tips for creating good prompts with ChatGPT
Here are some rules that are useful for any prompt you design.
Clarity : Be clear and specific in your request. Vague prompts tend to lead to imprecise responses.
Bad example : "Tell me about climate change."
Good example : "Explain to me the main causes of climate change focusing on deforestation."
Conciseness : Don't use long or unnecessary sentences. Keep the prompt straight to the point.
Bad example : "I would like to know if you could please tell me something about the history of the presidents of the United States, including dates."
Good example : "Give me a list of the US presidents with their dates of birth and death."
Specificity : Provide specific details if you are looking for something in particular. The more details, the better.
Bad example : "Tell me about Python."
Good example : "Explains the differences between lists and tuples in Python, with examples."
Using Examples : By providing examples at the prompt, you help the model better understand what you expect from the response.
Prompt example with examples : "Give me a dairy-free and gluten-free dessert recipe. An example of something I like is carrot cake, but without these ingredients."
Ideal structure of a prompt
The most complete and recommended structure of a prompt includes all of the elements mentioned above. Here is a complete breakdown:
Persona : Who are you targeting? An expert in the field or someone who needs basic help? Example: “You are a software engineer with experience in AI.”
Instruction : Clarify what you expect the model to do. Use verbs like explain , analyze , create . Example: "Explain how machine learning algorithms work."
Context : Provides information about the task. This may include background, knowledge level, or constraints. Example: "I'm writing an article for a general, non-technical audience."
Examples : Providing clear examples can help AI understand exactly what you want.
Example : "I want a simple explanation as if you were talking to high school students."
Format : Indicate how you would like the AI to structure the response. Example: "Please respond in a list with 3 key points."
Tone : Choose the appropriate tone for the task (formal, humorous, technical, etc.). Example: "Respond in an informal tone, as if you were explaining it to a friend."
Full Prompt Example:
Person : "Like a history teacher."
Instruction : "Explain the causes of the French Revolution."
Context : "I'm writing a college-level essay and need the key points."
Format : "Respond in 3 clear paragraphs."
Tone : "Formal and academic."
Advanced prompt engineering techniques for ChatGPT
Zero-Shot Promptting Technique
Zero -shot prompting refers to formulating the prompt without providing examples. C qatar cell phone number hatGPT will respond based solely on its knowledge. It is useful when you want quick and generic answers.
Example : "Describe the process of photosynthesis."
Here, you give the model one or more examples of the response you expect, which improves the quality of the output as the AI can adjust its response based on the examples given.
One-shot Example :
Prompt: "Explain the French Revolution to me in two paragraphs, like you did with the American Revolution."
Few-shot Example :
Prompt: "Explain how memory works in AI models. Here's an example of how you explained natural language processing: 'Natural language processing involves the interaction between computers and humans using natural language.' Use a similar style."
Chain of Thought (CoT) Prompting
Chain of Thought prompting guides ChatGPT to reason step by step before giving an answer. It is useful for questions that require more complex logical processes.
Example : "Explain to me how to calculate the area of a circle and then tell me how you would use that knowledge to solve more advanced problems in geometry."
Prompt Reframing
Rephrasing your question in subtle ways can change the answers you get, providing fresh perspectives on the same topic.
First Prompt : "What are the causes of climate change?"
Rephrasing : "Tell me about how human activities have affected climate change over the past 50 years."
Techniques to improve ChatGPT responses with advanced prompts
Negative Instruction Technique