(TrendHub KR – Posts by ICARUS Journalist) With the advancement of Artificial Intelligence (AI) technology, conversations with AI have become an integral part of our daily lives. A recent study introduces 26 key rules aimed at maximizing the efficiency of conversations with AI models, offering new insights into this field. These rules are designed to optimize the comprehension and responsiveness of AI conversation models, aiming to enhance the interaction between users and AI, facilitating more accurate and useful information exchange.
Below is a table summarizing the 26 key rules designed for efficient communication with AI. These rules are expected to improve the quality of AI conversations and maximize user experience.
| Rule Number | Key Rule Description |
|---|---|
| 1 | Omit polite expressions and communicate directly. |
| 2 | Customize the prompt to the target audience’s level of expertise. |
| 3 | Break complex tasks into simpler, sequential prompts. |
| 4 | Use positive directives (“do”) and avoid negative language (“don’t”). |
| 5 | For clarity or deeper understanding, use prompts like “Explain [topic] in simple terms” or “Explain to me like I’m a beginner in [field]”. |
| 6 | Mention tips for better solutions. |
| 7 | Utilize example-driven prompting (few-shot prompting). |
| 8 | Format prompts with “###Instruction###”, followed by “###Example###” or “###Question###” as appropriate, separating sections with line breaks. |
| 9 | Include expressions such as “Your task is” and “You MUST”. |
| 10 | Mention penalties for not following instructions. |
| 11 | Include “Answer a question given in a natural, human-like manner”. |
| 12 | Encourage step-by-step thinking with leading words. |
| 13 | Add “Ensure that your answer is unbiased and does not rely on stereotypes”. |
| 14 | Enable the model to ask questions for clarification with “From now on, I would like you to ask me questions to…”. |
| 15 | For learning a topic with a test at the end, use “Teach me the [Any theorem/topic/rule name] and include a test at the end, but don’t give me the answers and then tell me if I got the answer right when I respond”. |
| 16 | Assign specific roles to the language model. |
| 17 | Use delimiters for clarity in prompts. |
| 18 | Repeat specific words or phrases for emphasis within a prompt. |
| 19 | Combine Chain-of-Thought (CoT) with few-shot prompts for complex reasoning. |
| 20 | Use output primers by ending prompts with the beginning of the desired response. |
| 21 | For detailed writing on a topic, use “Write a detailed [essay/text/paragraph] for me on [topic] in detail by adding all the information necessary”. |
| 22 | For text revision without changing style, “Try to revise every paragraph sent by users. You should only improve the user’s grammar and vocabulary and make sure it sounds natural. You should not change the writing style, such as making a formal paragraph casual”. |
| 23 | For multi-file coding prompts, “From now and on whenever you generate code that spans more than one file, generate a [programming language] script that can be run to automatically create the specified files or make changes to existing files to insert the generated code. [your question]”. |
| 24 | To continue text using specific words or phrases, “I’m providing you with the beginning [song lyrics/story/paragraph/essay…]: [Insert lyrics/words/sentence]’. Finish it based on the words provided. Keep the flow consistent”. |
| 25 | Clearly state the requirements for content production in the form of keywords, regulations, hints, or instructions. |
| 26 | To mimic a provided text style, “Please use the same language based on the provided paragraph[/title/text /essay/answer]”. |
The full details of this study can be found at “https://arxiv.org/pdf/2312.16171v1.pdf“.
This research provides practical guidelines for transforming AI and human interaction into a richer and more meaningful experience. The efficient interaction with AI conversation models is considered a crucial element in promoting the use of AI technology across various fields, and this study is expected to contribute to the advancement of this field.
Moreover, the study deeply explores strategies for maximizing the value that users can obtain from conversations with AI. The research team proposes various techniques to improve the accuracy and relevance of the information provided by AI conversation models.
The efficient interaction with AI conversation models is deemed essential for fostering the use of AI technology in businesses, educational institutions, and among individual users. This research offers practical guidelines for making AI and human interaction more enriching and meaningful, expected to advance this field.
The findings of the research team are becoming increasingly important alongside the advancement of AI technology. The results of this study will be a valuable resource for all those developing and utilizing AI-based solutions. The ongoing efforts to improve user experience through effective conversation with AI and to maximize the potential of AI technology are expected to continue.
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