Top 20 limitation of using chat GPT.

 Top 20 limitation of using chat GPT.

As an AI language model, ChatGPT is capable of performing a variety of tasks like language translation, writing songs, answering research questions, and even generating computer code. With its impressive abilities, ChatGPT has quickly become a popular tool for various applications, from chatbots to content creation.

But despite its advanced capabilities, ChatGPT is not without limitations. As with any AI technology, ChatGPT has certain weaknesses and challenges that can impact its performance and accuracy.

Here, will explore some of the limitations of ChatGPT, ranging from its inability to understand complex contexts to its reliance on biased data. By understanding the limitations of ChatGPT, we can gain a better understanding of the potential drawbacks and challenges of using AI language models in various contexts.

Lack of common sense: 

While ChatGPT can generate human-like responses and has access to a large amount of information, it does not possess human-level common sense — and the model also lacks the background knowledge we have. This means that ChatGPT may sometimes provide nonsensical or inaccurate responses to certain questions or situations.

Lack of emotional intelligence:

 While ChatGPT can generate responses that seem empathetic, it does not possess true emotional intelligence. It cannot detect subtle emotional cues or respond appropriately to complex emotional situations.

Limitations in understanding context:

ChatGPT has difficulty understanding context, especially sarcasm and humor. While ChatGPT is proficient in language processing, it can struggle to grasp the subtle nuances of human communication. For example, if a user were to use sarcasm or humor in their message, ChatGPT may fail to pick up on the intended meaning and instead provide a response that is inappropriate or irrelevant.

Trouble generating long-form, structured content:

 At this time, ChatGPT has some trouble generating long-form structured content. While the model is capable of creating coherent and grammatically correct sentences, it may struggle to produce lengthy pieces of content that follow a particular structure, format, or narrative. As a result, ChatGPT is currently best suited for generating shorter pieces of content like summaries, bullet points, or brief explanations.

Limitations in handling multiple tasks at the same time:

 The model performs best when it’s given a single task or objective to focus on. If you ask ChatGPT to perform multiple tasks at once, it will struggle to prioritize them, which will lead to a decrease in effectiveness and accuracy.

Potentially biased responses:

 ChatGPT is trained on a large set of text data — and that data may contain biases or prejudices. This means the AI may sometimes generate responses that are unintentionally biased or discriminatory.

Limited knowledge: 

Although ChatGPT has access to a large amount of information, it is not able to access all of the knowledge that humans have. It may not be able to answer questions about very specific or niche topics, and it may not be aware of recent developments or changes in certain fields.

Accuracy problems or grammatical issues:

 ChatGPT's sensitivity to typos, grammatical errors, and misspellings is limited at the moment. The model may also produce responses that are technically correct but may not be entirely accurate in terms of context or relevance. This limitation can be particularly challenging when processing complex or specialized information, where accuracy and precision are crucial. You should always take steps to verify the information ChatGPT generates.

Need for fine-tuning:

 If you need to use ChatGPT for very specific use cases, you may need to fine-tune the model to get what you need. Fine-tuning involves training the model on a specific set of data to optimize its performance for a particular task or objective, and can be time-consuming and resource-intensive.

Computational costs and power: 

ChatGPT is a highly complex and sophisticated AI language model that requires substantial computational resources to operate efficiently — which means running the model can be expensive and may require access to specialized hardware and software systems. Additionally, running ChatGPT on low-end hardware or systems with limited computational power can result in slower processing times, reduced accuracy, and other performance issues. Organizations should carefully consider their computational resources and capabilities before using ChatGPT.

 Lack of In-Depth Information

Due to the ChatGPT knowledge limit, the results do not offer in-depth information, one of the other ChatGPT limitations. Often, you may get incomplete information or irrelevant answers. When you ask for a detailed answer, all you get is a summary; sometimes, even these summaries can have the wrong information. To overcome such ChatGPT limits, you need to cross-check the sources.

 Difficulty with Specialised Topics

One common ChatGPT limit is its inability to dig deep into specialised topics. The tool faces challenges regarding rare or specialised topics that don't have proper online data from which it has been trained. It can lead you to unnecessary results. ChatGPT is helpful for general knowledge, but its knowledge is limited to deep analyses.

Biased Answers

The text data that ChatGPT is trained on can cause a problem since some data can contain biases and prejudices. This can unknowingly affect the answer and make the AI-generated answers with biases or discriminatory answers since it is not human! It is among the ChatGPT limitations since these answers can hurt someone emotionally. 

 Cannot Understand the Context

Since ChatGPT can be used by students for writing cover letters or debugging codes, remember one thing. One of the ChatGPT limitations is its inability to understand context. It faces issues in understanding the context of many humans, like humour and sarcasm. If you add sarcasm to your query, ChatGPT might not understand it and give you a different answer altogether. 

 Cannot Express Emotions

One of the obvious ChatGPT limits is that this AI model cannot express emotions! Since it is a computer, it cannot express emotions like humans; the AI will provide you with answers, but there won't be emotions behind the answers. If you ask it to write a short poem, you will get a poem, but it will be a poem without the emotions of a poet. So, it is safe to say that AI lacks emotional intelligence and thus cannot respond to complicated emotional experiences or situations.

 Cannot Solve Complex Mathematical Problems

No matter how cool ChatGPT is with helping you solve mathematical problems, it faces glaring issues. One of the major limitations of ChatGPT that not many know of is that this AI cannot accurately compute complex mathematical problems. The chatbot can easily do your simple maths but provide it with multiple maths operations, which will be its end. It will either take too long to deliver or give you the wrong answer.  

A Need for Fine-Tuning

One of the major ChatGPT limitations is that you must fine-tune the AI model for some very specific cases when using it. Fine-tuning means training the model with a set of data to get the desired results and optimise it for the future. You need to be specific about the prompts and follow detailed or chain prompts to get the desired results. 

 Grammatical Errors and Typos

The AI model's responses might be technically correct, but they might not be completely accurate in context or relevance. When processing complex or specialised information, where precision and accuracy are crucial, this limitation of ChatGPT can be especially difficult.

 Accuracy Drops with Low-End System 

You might know of this limit of ChatGPT since this was a minor thing that not many noticed, but it does leave a huge impact! Running ChatGPT requires a lot of computational power, especially to receive the correct answers! If you have a slow PC or a low-end system, you may receive answers that are slow or wrong. There is also a decrease in accuracy and more. (You probably thought of it being an internet issue, but it is a limitation of ChatGPT)!

 Incomplete Responses

By far, this is one of the common limitations of ChatGPT! When you ask the tool to write a long-form article, it starts writing. However, when you think it will finish writing the entire thing, you find out that it has stopped generating the response in the middle and shows you a button to continue generation! Imagine you take a break for 5 minutes after giving the prompt to write an article. When you come back, you may find only 1/3rd has been written, and it stopped!  

How Should Users Approach the Limitations of ChatGPT? 

Finding your way through the limitations of ChatGPT may seem daunting, but hang in there! ChatGPT’s nature is to produce content; that’s why updated information is not what you will get. Following are the ways you can overcome ChatGPT limits:

1. Verify generated facts and statistics for accuracy. 
2. Check grammar, readability, and sentence structures. 
3. Link back to credible sources to validate the data points.
4. Use expert opinions or recent news and add fresh perspectives. 
5. Adopt a tone that aligns with your targeted audience.

What are the Risks of ChatGPT?

While there are many benefits and limitations of ChatGPT, you cannot overlook the risks. Once you know what the risks are, you will know how to make the best out of the tool. Below are a few ChatGPT risks one should be acquainted with:

1. Increased Cybercrime: Cybercriminals often use ChatGPT to develop ideations for malicious tools.
2. Lack of Confidentiality: One of the major ChatGPT risks is that many employees tend to expose company confidential information to the AI. In return, ChatGPT learns that information and may spill the beans to someone who demands to know it.
3. Potential Misguidance: ChatGPT possesses the skill of teaching. Users may take advantage of this skill and learn the wrong practices. Today, we know ChatGPT has undergone several updates and levelled up to 4 versions to be more efficient in delivering the output.