Artificial intelligence (AI) assistants like OpenAI's ChatGPT, Claude by Anthropic AI, Google Gemini, and other AI models have only gotten better since their early days. We are at the point where these AI models are already good enough for the majority of people using them. Every AI company is striving to achieve artificial general intelligence (AGI), and we are slowly but surely moving towards it; we already have AI agents and agentic systems capable of autonomously thinking and completing tasks. However, despite improvements in AI models' intelligence and agentic capabilities, they can still make mistakes even when you provide them with all relevant resources, including direct ones.
Recently, I was researching ads in ChatGPT. To speed up my research and get a quick snippet on the topic, I provided ChatGPT with the link to OpenAI's article on ads in ChatGPT, which discusses testing ads in ChatGPT and who will see them. Now, despite providing ChatGPT with the direct link to the article, a well-structured prompt, and clear instructions about what information I wanted, there were still some mistakes and gaps.
AdCreative.ai: An AI-powered platform that automates the creation of high-performing ad creatives for social media and display campaigns.
There are several reasons an AI model can hallucinate, provide incorrect information, or fail to provide complete information, even when the prompts are well-structured. Here are several reasons why that could happened:
- LLMs are trained to produce sequences of words that appear to be good continuations of the input. When the question has gaps, ambiguity, or missing context, an AI model often fills them with the most statistically plausible completion, which can be fabricated but still sound right.
- Even if your prompt is well structured, the lack of content constraints like a trusted source of information (web, docs, internal knowledge), required level of completeness, and other factors may cause the AI models to hallucinate with overconfidence.
- AI models learn patterns from a huge mix of sources where some can be wrong, conflicted, true at some point, but later changed or corrected. That mix of accurate, inaccurate, and inconsistent knowledge may cause an AI to give answers that seem accurate but contain errors and misinformation.
The only prompt you need to get accurate information from ChatGPT:
Suppose you got everything right, but there are some errors you found in ChatGPT's response, or you just want to make sure the information you got from ChatGPT or other AI models is accurate. Just use the following prompt to get more accurate information.
"Thoroughly fact-check every piece of information and respond again. List out every piece of misinformation and everything you are corrected on at the end."
Use the above prompt after asking a query to ChatGPT or an LLM of your choice, and you will see the difference in answer quality.
Editor's Note:
I have been using AI models like ChatGPT, Gemini, and Claude since 2023, and although LLMs have only gotten better, getting accurate responses has always been a challenge. That was until now; the above prompt has genuinely changed how I interact and use AI assistants. You might still need to verify a few pieces of information and details every now and then, but using the above prompt will definitely take some load off your shoulders and let you.
💡 For Partnership/Promotion on AI Tools Club, please check out our partnership page.