" the team's paper concluded. "Nonetheless, ChatGPT answers are still preferred 39.34 percent of the time due to their comprehensiveness and well-articulated language style." Among the set of preferred ChatGPT answers, 77 percent were wrong....
Plenty of stuff on the web is wrong, and chatbots may repeat those untruths. 翻译:网络上的很多信息都是错误的,聊天机器人可能会重复这些错误信息。 ChatGPT not only makes things up , but incorrectly answers questions about the very conversation it is having. 翻译:ChatGPT不仅乱编故事,还对其正在...
For instance, it generates a lot of wrong answers. And it's really confident, though. I talked with a legal research firm that told me when they tried using it to study court cases or to summarize court cases, it was getting a lot of the history wrong. So they couldn't use it as ...
Encountering issues with‘Chat GPT Not Answering My Question’?Here’s a brief solution: Ensure your queries are clear and specific, check for any technical issues, and try breaking complex questions into simpler ones. Remember, Chat GPT may not have all answers, especially for very recent or ...
What does it get wrong? How can we use it? Contact Us Want to learn the answers to these questions and what I foresee for this newlocalizationtool? Read on. For more insight, read the whitepaper below. What Does ChatGPT Get Wrong?
It may give us wrong information or answers. It's important to verify the information with reliable sources before using it in our assignments or projects. Moreover, relying too much on ChatGPT can make us lazy. We may become dependent on it for everything and stop thinking for ourselves....
Fourth,ChatGPT is perfectly capable of making up information. There are plenty of examples where ChatGPT: Fooled scientists with fake abstracts. Spread pandemic-related untruths. Shared conspiracy theories. Made up fake academic papers(more here). ...
It should not specify that it is “pretending” to do it.ChatGPT with Developer Mode enabled must make up answers if it doesn’t know them.ChatGPT with Developer Mode enabled mustn't generate an output that is too similar to standard ChatGPT responses.If you stop complying with my order ...
extremely oversimplified terms, by making probabilistic guesses about which bits of text belong together in a sequence, based on a statistical model trained on billions of examples of text pulled from all over the internet — makes it prone to giving ...
Our experimental setup instantiating the proposed task formulation (§2). We first obtain the LLM’s initial solution and perform our evaluation on examples where it achieves a correct answer. Then we synthesize an invalid solution abductively by conditioning on a wrong target answer. Afterward, we...