Nowadays, chatGPT is a versatile tool that can assist with various tasks. It’s like having a knowledgeable friend who can engage in conversations and provide answers. Despite its wealth of information, this AI model is not without flaws. In this article, let’s explore these limitations and tips for ChatGPT to help us more effectively.
Why Checking Information Is Important?
In a digital age where information is abundant online, fact-checking has never been more crucial. This applies to data provided by ChatGPT as well. Here’s why verifying information from ChatGPT is important:
Accuracy: ChatGPT’s responses may contain unrelevant or outdated information. Fact-checking is essential to verify the correctness and currency of the information provided.
Preventing Misinformation: Content generated by ChatGPT may appear plausible but lacks factual support. Fact-checking is crucial in preventing the dissemination of misleading or false content.
Empowering Decision-Making: Whether utilizing ChatGPT for research, decision-making, or content creation, fact-checking enables informed choices based on reliable information.
Trustworthiness: Checking the accuracy of sources demonstrates a commitment to credibility, especially important when using ChatGPT-generated content for professional or academic purposes.
10 Common ChatGPT Errors
1. Characters Limit
There are limitations on the number of characters that can be input into ChatGPT and the length of responses it can provide within a certain time frame, for either users with paid accounts or not.
These limits vary depending on the version you’re using (e.g., GPT-3 .5 has an input limit of 2048, while GPT-4 has a limit of 4,096) and whether you are using the web interface or the API.
We advise against using ChatGPT for business purposes as it struggles with accurately estimating and understanding character counts, which can result in additional time for editorial work.
For topics related to SEO and content marketing that require meeting specific word counts, this can be a significant hindrance.
Additionally, users may encounter token limits or functional restrictions when using the ChatGPT API, with specific rate limiting applied based on GPT versions, OpenAI tools, and account types.
2. Bad At Math And Logic
Due to its difficulty in counting, ChatGPT’s capability in math and logic is lacking. While OpenAI has made some improvements, the model still doesn’t know how to do basic mathematical calculation, making it far from being adept in mathematics.
Despite possessing a vast amount of knowledge, ChatGPT often finds itself unable to solve simple math problems and logical puzzles, sometimes providing inaccurate solutions and explanations.
It is advisable to avoid asking ChatGPT for help with math or any related queries as it tends to struggle with explaining math concepts and may provide incorrect responses. The model tends to repeat itself and can confidently give incorrect answers.
3. Difficulties In Brainstorming Ideas
Coming up with unique or imaginative ideas can be a struggle for ChatGPT, leading it to occasionally recycle content or offer unoriginal suggestions.
Many of the challenges with ChatGPT stem from its fundamental functioning. Unlike a sentient being, ChatGPT cannot think independently, no matter how adept it may seem at mimicking such behavior. All the content it produces is sourced from human-written material.
As a result, its capacity to generate original ideas is limited. At best, it can arrange words in a manner that appears novel, but this does not guarantee true creativity.
Frequently, ChatGPT’s “original ideas” fall into two categories. The first category consists of ideas that are not original and are simply plagiarized from other sources on the internet.
4. Hallucination
There is a lot of buzz on the internet surrounding ChatGPT, but the risk lies in the fact that its inaccuracies are only evident if you already know the correct answers. When asked about basic information security, the responses may sound convincing but are nonsensical.
This is referred to as “hallucination”, where the system can confidently produce nonsense at any given moment, leaving users uncertain about the accuracy of the information provided.
The issue of “hallucination” poses a significant challenge for ChatGPT and other generative AI platforms. ChatGPT can respond to a wide range of questions with persuasive answers, even if they are incorrect.
5. Biased Responses
The ethical concerns surrounding AI are significant, with bias being a particularly prominent issue. Biased training data remains a persistent challenge for Large language models (LLM) that researchers are actively working to solve.
For instance, Twitter trending ChatGPT has been reported to create Python scripts that assess a person’s abilities based on their race, gender, and physical characteristics in a discriminatory manner.
ChatGPT can exhibit various forms of bias, including favoritism towards specific races, genders, political affiliations, and more.
6. Time Out Response
When processing lengthy and intricate responses, ChatGPT may occasionally time out.
This issue may occur when requesting the platform to execute tasks such as coding analyzing and responding to extensive inputs.
Similarly, when requesting ChatGPT to generate code or lengthy text, it often halts abruptly without completing its response. In such cases, you can input “continue” to prompt it to finish in the subsequent reactions.
7. Log In Problem
Login difficulties can arise based on the required access level or session duration. ChatGPT might log you out, or certain features may be inaccessible depending on your account status.
To address these issues, you can try:
– Adjusting your prompts to adhere to character limits.
– Ensuring you are logged in and have the necessary access for the desired functionality.
– Requesting ChatGPT to provide new responses.
– Initiating a new chat session.
8. Coding Error
There have been instances where people have successfully utilized ChatGPT to develop websites, applications, and browser extensions, as well as troubleshoot coding problems.
However, it’s important to note that ChatGPT may also generate faulty code. I have personally experienced the following challenges when using ChatGPT for coding assistance:
– The code is not functioning as expected when users utilize the tool.
– The calculator produced by ChatGPT’s code are inaccurate.
– Selecting the wrong API possibly due to the lack of awareness about the desired API, especially if it was released or updated after the training data used by GPT, which concluded in late 2021. Unfortunately, ChatGPT doesn’t provide this feedback.
– Disregarding instructions, project requirements, and limitations.
It is essential to thoroughly review the code before deployment and test the output of ChatGPT’s assistance.
Some users have found that using GPT-4 or legacy mode instead of the new default Turbo mode yields better outcomes for coding tasks.
You May Like: Master Coding With ChatGPT: Write Code Like A Pro Using Chat GPT
9. Outdated Data
The training data for ChatGPT may be refreshed in the future, with various plugins and tools now incorporating web crawling and real-time information.
However, the web version of ChatGPT cannot currently collect data and does not have access to information before late 2021. This is particularly important when considering the possibility of providing incorrect information confidently.
10. Limited Memory
ChatGPT has a restriction on the number of characters it can “remember” during a chat, which can lead to errors as it loses the context of previous prompts or responses. To minimize mistakes while using ChatGPT, focusing on certain key areas can help mitigate potential issues and limitations.
How To Make ChatGPT Fewer Errors?
To maximize your use of ChatGPT while avoiding common ChatGPT mistakes, it is important to focus on these key areas:
Be Aware Of Limitations
Stay informed about the platform’s limitations, such as character limits for prompts and responses, and the training data used by GPT. This will help you create prompts that elicit accurate responses and improve QA results.
Keep track of updates on these limitations from OpenAI, as they regularly address and update these issues in new releases.
Review Outputs
Thoroughly review and edit any outputs from ChatGPT before using them, as the platform can provide convincingly confident but potentially incorrect information. It is recommended to have a domain expert review the content and code before deployment.
It can be deceivingly simple to be misled by the information and claims presented by ChatGPT, particularly when discussing a subject outside of your knowledge domain.
Additional Tools And Methods To Enhance API
OpenAI has introduced plugins and released a specialized API for ChatGPT. By using the tools developed by others or creating your own, you can overcome some of the platform’s drawbacks.
