It is better to ask specific questions to get a precise answer. Clarify the details and state clearly what you need. For example, instead of "How to write a marketing text?" it is better to ask "How to write a marketing text for product X to attract more customers?".
Set the context so that the model better understands the purpose of your question. Give an introduction or describe the situation. For example, instead of "How can marketing at Company X be improved?" it is better to ask "What can be done to improve the marketing department at Company X?".
Use keywords to help the model understand exactly what you are looking for. Specify the most important words related to your questions. For example, instead of "What tools do I need to analyze data?" it is better to ask "What are the best tools to use to analyze e-commerce data?".
Provide additional information so that the model can better understand your query and provide the most useful answer. For example, instead of "How to write a business plan for a restaurant?" it is better to ask "What is the best business plan for opening a new restaurant in the city center? Given that competition is strong, budget is limited and we need to attract a lot of customers."
Ask one question at a time to avoid confusion and get the most useful answer. For example, instead of "How to improve sales and increase profits on the website?" it is better to ask "How to improve sales of product X on the company's website?".
Use clear and understandable language so that the model can better understand your query and provide the most useful answer. For example, instead of "How to attract customers to the site?" it is better to ask "What marketing channels are best to use to attract customers to site X?".
Highlight key phrases in your query so that the model understands the main idea of your question and gives the most accurate and useful answer. For example, instead of "How do I analyze competitors in Y?" it is better to ask "How do I analyze competitors and identify their strengths and weaknesses in Y?".
Specify the turnaround time so that the model knows how long it takes to fulfill your request. For example, instead of "Can you help solve problem X?" it is better to ask "Can you tell me how to solve problem X in 2 hours?".
Specify the format of the answer so that the model produces the most appropriate answer. For example, instead of "What was the sales volume in region X over the last year?" it is better to ask "Can you make a table showing sales volume by month over the last year in region X?".
Evaluate the results and supplement the queries if necessary. Don't hesitate to ask clarifying questions or supplement queries to get more useful and accurate answers. For example, after receiving an answer to the question "How can I analyze competitors and identify their strengths and weaknesses in Y?", you can clarify "Can you supplement how best to analyze competitors in Y if they only operate online?".
Ask the ChatGPT to introduce themselves as a specific professional, character, or member of a profession. Example: Take on the role of a lawyer (poet, psychologist, critic,.....
Professor Synapse, developed by programmer Joseph Rosenbaum, is an innovative tool that improves the performance of chatbots, including such powerful artificial intelligence algorithms,...
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