OpenAI developed an AI chatbot known as ChatGPT that uses NLP (Natural Language Processing) to develop humanoid conversational dialogues. It answers a broad range of questions with outstanding accuracy, including answering questions, generating codes, writing songs, language translation, and more.
Its outstanding capabilities make it a well-known tool for applications ranging from content creation to chatbots. OpenAI’s GPT-4 is the biggest language model developed to date. It contains 175 billion parameters and accepts 10 million queries per day!
Despite boasting impressive capabilities, Chat GPT does have certain limitations.
Let us take you through some of these limitations to help you navigate this trendy smart tool.
1) Can’t access the Internet
Since ChatGPT can’t access the internet, it can’t provide real-time information to the users. Let’s understand it with an example.
For example, if you prompt ChatGPT to determine the current stock price or weather forecast, it won’t provide precise data. The reason is ChatGPT is a language processing tool and not a search engine. Hence, it can simply retrieve data from the Internet but can’t offer real-time results.
2) Dearth of common sense
ChatGPT can produce human-like responses and provides access to a huge amount of information. However, it lacks human-level common sense and background conceptual knowledge.
It implies that the tool can occasionally provide inaccurate or nonsensical responses to certain queries or situations.
3) Only accepts text input
One of its key limitations is it accepts the input in text format only. You can use your voice to let it perform a specific task. However, it can’t access media like images, videos, or URLs.
If you aim to command the chatbot by utilising the information contained in an image, you need to interpret it for the ChatGPT platform.
4) Can’t understand and process natural language
ChatGPT can understand more complex language patterns based on your instructions. However, unlike humans, it can’t understand and process natural language. So, it can create miscommunication and perplexity when a computer tries to decode a user’s input.
5) Can’t properly answer on specialised topics
ChatGPT contains information on almost anything you need. However, it can’t answer certain rare or specific topics that may have improper data from the source it has been trained. Consequently, it provides worthless answers to the user. This concern can be resolved if ChatGPT gains access to the Internet.
6) Can’t understand the context of the query
ChatGPT faces difficulty understanding context, particularly humour and sarcasm. It is well-versed in language processing. However, it can’t comprehend the deep meaning of what humans want to convey through their queries. For example, if you wish to use humour or sarcasm in a message, ChatGPT might not be able to comprehend your intention clearly. In such scenarios, it would provide an irrelevant response.
7) Finds difficulty solving complex mathematical problems
ChatGPT does help you solve mathematical problems. However, it can’t precisely calculate complex mathematical problems. When dealing with complex maths problems, it would either give an incorrect answer or takes much time to respond. This limitation negatively influences students and teachers.
8) Issues with generating long-form content
The model is competent in generating logical and grammatically accurate sentences. However, it may face difficulties generating long-form or narrative content. Therefore, ChatGPT is presently found to be the most suitable choice for generating short-form content like brief explanations, bullet points, or summaries.
9) Ineffective at handling multiple tasks simultaneously
The model efficiently performs when you input a single task. However, if you let it handle multiple tasks, it may face trouble prioritising them. Consequently, it leads to reduced accuracy and effectiveness. For instance, it can effectively handle tasks like writing a summary and performing calculations simultaneously.
10) Requires fine-tuning
If you want to use ChatGPT for special use cases, you may have to fine-tune it to obtain the required output. The process of fine-tuning focuses on training this model on a specific data set for accomplishing a specific task. However, the process can consume more time and resources.
11) Can’t express emotions
Since ChatGPT is a computer model, it can’t express emotions the way humans do. Although it provides you with accurate answers, the answers lack emotions. For example, if you ask it to write a story, it would generate it but without the emotions that the story wants to convey.
It can generate sensitive responses, but the responses lack actual emotional intelligence. It can’t detect ingenious emotional cues or properly respond to your queries involving complex emotional aspects.
12) Lacks creativity
It lacks originality in the generated content because it only depends on the existing data as opposed to human creativity and perception. Therefore, ChatGPT’s creative approach is very restricted that can be hard to deal with if implementing this model to write compelling content.
Conclusion
Currently, ChatGPT is a pretty new technology that needs more research and development to make it more effective. It is beneficial to make the most of its impressive capabilities. However, understanding its limitations provides us with a better perception of whether to use it or not for specific use cases and contexts.
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