" The difference between these examples is this: In a good imperative formulation ("Show me"), the user clearly states the desired action they want the chatbot to perform. This helps the bot understand what exactly needs to be done. In a bad non-imperative formulation ("I'd like to know"), the user expresses their interest but doesn't specify the specific action they want to perform. This can cause confusion about how the chatbot should help. 3 Use keywords on the topic Include keywords related to the topic of your question so that the chatbot understands what exactly you are asking.
Good query: "How to optimize MySQL venezuela phone number list database performance?" Bad query: "Tell me about databases." 4 Specify and clarify the context Add additional details or conditions to get the most accurate and relevant answers from GPT Chat. Good query: "What security settings should I apply to the Apache web server on Ubuntu?" Bad query: " Avoid general or abstract queries to get concrete and practical answers. A good query is: "What are the steps to follow when designing a microservices architecture?" A bad query is: "Explain design patterns.
" Conclusion ChatGPT interactions are becoming increasingly popular in the IT industry. However, the quality of the answers you receive directly depends on how precisely and clearly you formulate your request. Defining the role of the chatbot, using imperative mood, keywords, specifying the context and avoiding abstractions are all key points for effective interaction with GPT chat. Following these recommendations, you can get the best results from using this powerful technology in the IT industry. Here is an example of a request that helped us write this article. However, we had to slightly revise the final text.
How do I secure my web server?" 5 Don't use abstractions
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