Defining your style and goals
Before you teach AI, clearly formulate what you want to get from it. What tone is appropriate: formal, friendly, expert? What key terms do you use? What is the target audience? Do you need short abstracts or detailed explanations? Write down the basic parameters that define your style and the requirements for the task. This is your starting point for creating efficient and targeted queries to the neural network to get the desired result.
Submitting examples via Few-shot Learning
One of the most effective ways to “teach” AI is to show it examples. Instead of simply describing a style, provide the neural network with several complete examples of how you would perform the task yourself. It's called Few-shot Learning. Show 2-3 examples of text, list or analysis in your style. Then ask the AI to continue or create new content based on these templates and your style.
Creating a detailed AI “profile”
At the beginning of the dialogue with the AI, describe its “role” and “profile”. For example: “You are an experienced marketer with 10 years of experience who writes short, succinct texts for a business audience. Your tone is confident, but not aggressive.” Add a list of unwanted words or phrases. The more detailed you are about who your AI is in this particular task, the more closely it will meet your expectations for style and presentation of information to your audience.
Using Constraints and Instructions
Structure your query clearly using delimiters (such as triple quotes or special tags) to separate instructions from data. In the instructions, indicate not only “what” needs to be done, but also “how”. For example: “Write [WHAT] in the style [WHAT STYLE], using only [LIST OF TERMS] and avoiding [LIST OF WORDS]. Important: [ADDITIONAL CONDITIONS]." This level of detail significantly improves the quality and personalization of the neural network’s responses.
Iterations and Feedback
Working with AI is a process that requires iteration. If the first answer isn't perfect, don't give up. Give the neural network specific feedback: “Too formal, make the tone more friendly,” or “Reduce the number of general phrases, add specifics.” Each of your clarifying requests is a new “lesson” for AI. Over time, it will “learn” and adapt to your individual preferences, becoming a truly personalized work assistant.