The secrets to asking ChatGPT the right questions and the future of artificial intelligence

Today, ChatGPT and similar artificial intelligence-based chatbots are widely used for quick access to information, analysis, and recommendations. However, how questions are asked plays a key role in obtaining effective and accurate answers from these bots. Both experts and regular users agree that the efficiency gained from artificial intelligence largely depends on the accuracy of the prompts and question formats used.

HOW TO ASK CHATGPT THE MOST EFFECTIVE QUESTIONS?

The most important factor to consider when directing questions to ChatGPT is to aim for the targeted information with clear and concise expressions. Experts state that short and structured questions asked with specific terms produce much more accurate answers than long and ambiguous sentences.

For example, a direct question like “Who is Leonardo da Vinci?” provides clearer results compared to a general request like “Can you give me information about art and science?”

For complex or multi-step information requests, it is recommended to break the question into parts and send each step to ChatGPT sequentially. For example, asking “What is artificial intelligence?” first and then continuing with “In which fields is it used?” ensures that the answers are both focused and form a coherent whole. Additionally, to increase the accuracy of the answers, it is possible to make explicit requests with additional commands such as “Can you specify your sources?” or “Can you summarize it briefly in bullet points?”

POINTS TO CONSIDER IN QUESTIONS AND PROMPTING METHODS

To give an effective command, one must first clearly define the type of response desired. Framing should be done appropriately for ChatGPT for different response expectations such as information requests, analysis, recommendations, or lists. Direct commands like “Can you list the innovative projects carried out in Turkey in 2023?” facilitate obtaining more consistent answers as they clearly contain both context and details.

Experts recommend avoiding overly general expressions and requests lacking context. In addition to adding details, using keywords that artificial intelligence can understand also simplifies the process. One of the common mistakes is asking questions with overly inclusive or directionless expressions. For example, instead of saying “Give me information about innovation,” more descriptive commands such as “Can you explain the three most important innovations in the field of artificial intelligence in the last decade?” should be preferred.

Correcting wrong or ambiguous expressions can be achieved through the iterative feedback method. If the answer is not satisfactory enough, it is possible to improve it with follow-up questions such as “Can you elaborate on this topic a bit more?” or “Can you provide more examples?”

THE FUTURE OF ARTIFICIAL INTELLIGENCE: TWO-YEAR PREDICTIONS

Scientists working at the world's leading universities and research institutions expect significant developments in artificial intelligence by 2026. Making natural language processing technology more precise and increasing the capacity to produce fast and reliable answers in seconds are among the prominent topics. Furthermore, it is expected that artificial intelligence will progress more independently in its own learning and decision-making processes, with visible progress expected especially in creative thinking and problem-solving skills.

In the future, it is predicted that artificial intelligence systems will play a more widespread role as decision-support mechanisms in daily life. It is noted that they will offer interactive solutions that will facilitate human life in different fields from education to health, and from design to industry. Along with this, it is expected that new regulations will be developed regarding ethics and security, and new discussion topics that will shape social changes will come to the agenda.

ADVICE FROM EXPERTS AND GLOBAL REFLECTIONS

To achieve success in ChatGPT and similar artificial intelligence applications, it is recommended that both users and developers adopt a conscious approach. In addition to universities such as Stanford, MIT, and Oxford, technology giants like Google and Microsoft also emphasize the importance of users getting maximum efficiency from the system with the right questions. In Turkey, many institutions, primarily TÜBİTAK and Boğaziçi University, are focused on developing local language models and user-friendly interfaces.

Projects carried out on a global scale aim for artificial intelligence to be inclusive, transparent, and reliable. Among the biggest mistakes made so far is seeing artificial intelligence as a magic solution and trusting it more than necessary. For this reason, experts recommend approaching the answers received from artificial intelligence critically and adopting usage strategies focused on verification and collaboration. For conscious users, the most important step to take stands out as asking correct and structured questions, taking feedback into account, and considering the limitations of the system.