ChatGPT Chatbot - Friend or a Foe?

These days employing AI in your processes has become like adding an extra jewel to your glamour. From automating tedious tasks to personalized assumptions, we aren’t unknown of what their smartness can do for us. If you’re a tech nerd, you definitely have heard one word these days in almost all news and your social media feed, i.e. “ChatGPT”. This AI tool is causing a stir on the internet for some of its insane potential.

The ChatGPT AI chatbot is all about “Ask me anything” to generate unseen, unexpected responses. This revolutionary tool hit a million users on its platform just in a week from its launch. Its witty replies to almost any prompt or question amused everyone. Eventually, netizens become more curious about its ultimate power to deliver human-like responses. That made it a global sensation on the internet. But how safe is introducing these bots to the cyber world could be?

We gathered some highlights on ChatGPT, its uses, capabilities and limitations. Let’s dive in.

What is ChatGPT?

ChatGPT is a generative AI language model developed by OpenAI, a revision of the GPT-3 (Generative Pre-learning Transformer-3) language model. ChatGPT model is specifically designed to perform well in a conversational context. It was trained on a comprehensive dataset of human-generated texts so that it could generate human-like responses to prompts. Some possible applications for ChatGPT include Chatbots, dialogue systems, and automated customer service.

AI has gone through three phases of progression, where the “Generative-AI model” is the 3rd phase to it after the “detection” and “recognition” stages. Generative AI models like ChatGPT can help to compose prompts like memos, articles, fiction, code and conversational replies like humans.

Key Capabilities of ChatGPT and Possible Pitfalls

#1 Use of NLP and deep learning to generate human-like responses

ChatGPT is a cutting-edge Natural Language Processing AI system developed by OpenAI. It uses a combination of NLP and deep learning techniques to generate cognitive responses to almost any prompt.

NLP involves interpreting the meaning and context of human language to enable software to process and analyze large amounts of linguistic data. Deep learning is a section of machine learning devised by how the human brain learns and makes decisions. Together NLP and deep learning enable ChatGPT to contextualize the given prompt to generate a coherent and appropriate response.

Pitfall

The responses by ChatGPT often seem plausible but not necessarily always correct or logical. ChatGPT responses are based on static knowledge and not critical thinking. Also, its answer always depends upon what the model knows only. But human brains think of solutions based on knowledge and experience.

#2 Gathering information from thousands of resources

As a language model, ChatGPT was trained on a large dataset of billions of words and phrases, which it uses to generate responses to user input. ChatGPT doesn’t have an inbuilt ability to browse the internet for new information but can provide insights from existing resources in its database.

This compiled dataset was made up of text from a wide variety of sources, including books, websites and other documents. The training process involved feeding this text data into a machine learning model, which was then able to learn the patterns and structures of the language to generate responses by gathering accurate data based on input.

Pitfall

ChatGPT is trained on data only prior to 2021. So the model doesn’t have access to current news or trends to generate specific prompts. Also, ChatGPT could sometimes be information bias as the system and trainers of OpenAI itself supervise it.

#3 Remember previous conversations

This is the most attractive feature of the ChatGPT that other AI chatbots may lack. Search engines like Google save our search history but don’t save specific answers. ChatGPT keeps your previous prompts and replies in a conversation. It generates responses to prompts that it receives and uses them to iterate appropriate reactions to future queries within the conversation.

This means that ChatGPT may generate the same answer if you ask a similar question later. It also has the ability to grasp the context and tone by understanding the language and the pattern of the conversation. You can add different conversations with specific headings to bifurcate responses on one topic from the other.

#4 Decline inappropriate prompts

ChatGPT is trained on thousands of phrases and words of human texts that help it respond like a human. This makes the ChatGPT model sensitive to input phrasing. Simply put, when you input a phrase the model doesn’t train for, it may decline your request.

Pitfall

ChatGPT is an optimized language model for a dialogue trained to be more cautious for phrases or words not in its dataset. This leads the model to refuse answer prompts that could have straight answers. But the subtle tweaks in the input or rephrasing prompts can make it answer correctly.

#5 A large variety of use cases

Within one month of its launch, thousands of manifold use cases of ChatGPT are available all over the internet. ChatGPT is a generative AI chatbot built for conversational responses to almost any prompt. ChatGPT has a wide usage range from creative, nonsensical to useful answers.

Over 1 million users use the model to compose tables, excel sheets, memos, stories, blogs, replies, emails, ads, code etc. This made ChatGPT break records on the internet. Helping in these areas, the model is excelling in reducing the burden of human brains.

Pitfall

ChatGPT is trained with a large variety of human-generated resources that make it vulnerable to plagiarism. There are chances of copyright violation as the model use resources and generate prompts without providing original citations. Also, it can be used in an unauthorized way to write malicious code.

Limitations

#1 Lower entry barriers allow cybercriminals to build attacks.

ChatGPT has an underlying potential to bring down the entry barriers for attackers allowing them to build their attacks. This raises the security bar for online enterprises causing them to revisit their validation mechanisms in order to stay safe from these vulnerabilities.

#2 It can generate fake figures, and information

ChatGPT can sometimes generate fake data or facts that may seem realistic. In many of its uses, it even creates nonsensical replies. This makes the model less authentic to rely on without a fact check.

#3 Excessively verbose and overuse phrases

ChatGPT also generates nonsensical or verbose responses in some cases. This is due to how the model is taught (to develop comprehensive texts). This chatbot needs to be trained entirely to guess user intent or verify if not sure about the query. Right now, when not certain, it’ll generate witty answers to ambiguous queries.

Final Thought

An AI-driven model like ChatGPT has the potential to bridge the gap between humans and machines in the long run. With the process-driven work atmosphere, ChatGPT has a clear growth field to be proven as an assistive friend. On the contrary, the model has an unknown possibility of replacing humans functioning in intellectual areas leading to manual job losses. Only time will tell whether the ChatGPT model turns out to be a friend or a foe.

Open AI has projected $1 billion in revenue by the end of the year 2024. Also, Microsoft is planning to build a long-term relationship with ChatGPT’s owner OpenAI. This can cause Google Search to face competition for the first time in 20 years. As for now, ChatGPT will surely taste success and fame, at least for a while.

Work on ChatGPT is in progress, and OpenAI is constantly updating the platform to improve its usage.