Comparing ChatGPT with Company Chatbots – A Complete Overview highlighting the Uses, Pros & Cons, Limitations, and Cybersecurity threats of both technologies.

Pallavika Barthakur– Leader Marketing and Sales, Brainbox Consulting

Understanding the terms:

ChatGPT is a large pre-trained language model developed by OpenAI, it is trained on public data. It is capable of understanding and generating natural language, being trained on a large dataset of human language, allowing it to understand the nuances of conversation, and can be fine-tuned for specific industries or use cases to improve performance.

Company chatbots, on the other hand, are chatbots that are computer programs developed and designed to simulate conversation with human users and used specifically by a particular organization. They can extract data from specific private documents or inputs provided and are customized to the specific needs and requirements of the organization.

When comparing ChatGPT and internal company chatbots, it’s important to consider the specific needs and goals of the organization. In fact, ChatGPT can be used for chatbot development, where it can generate human-like responses to user input.

Now, let us understand the various cases where both of these can be used:

Uses:

ChatGPT	Chatbots
Text Generation: Being a language model, one can use ChatGPT for a variety of natural language processing tasks, such as text generation, language translation, and text summarization.	Customer service: Chatbots can be used to provide quick and efficient customer service, answering frequently asked questions and guiding users through troubleshooting steps.
Data Analysis: ChatGPT can be used for data analysis, such as sentiment analysis, and in other applications where understanding and generating human language is important.	E-commerce: Chatbots can be used to assist customers in making purchases, providing product recommendations, and tracking orders.
Text classification: ChatGPT can be used to classify text into different categories, such as spam or not spam, positive or negative sentiment, true false and so on.	Entertainment: Chatbots can be used to provide interactive entertainment, such as games, trivia, and jokes.
Language model fine-tuning: It can be used to fine-tune specific tasks or domains, such as legal documents or customer support transcripts, to improve its performance on those tasks.	Healthcare: Chatbots can be used to provide medical information, answer health-related questions, and assist with scheduling appointments.
Text completion: ChatGPT can be used to complete a given text prompt, such as a sentence or a paragraph, by generating the next word or phrase.	Banking and finance: Chatbots can be used to provide account information, transfer money, and answer financial questions.
Text summarization: ChatGPT can be used to automatically summarize long documents or articles into shorter versions, keeping the most important information.	Lead generation: Chatbots can be used to collect contact information from potential customers, qualify leads and schedule appointments. Personal assistance: Chatbots can be used to schedule appointments, set reminders, and provide information.
Image captioning: ChatGPT can be used to generate captions for images, describing the scene or objects in the image.	Procurement Assistance: ChatBOTs can be used to choose items, raise POs, check status, generate invoices in various systems and can be integrated with various procurement ERPs
Dialogue systems: ChatGPT can be used to create interactive dialogue systems, such as virtual assistants, where it can generate responses to user input.	HR Assistance: They can be used to screen resumes, and fasten the requirement process, send automated emails and notifications
Text-to-Speech ChatGPT can be used to generate spoken words, it can be used to create voice assistants or synthetic voices for videos, games, and other applications.	Website assistance: These Bots can help someone navigate through important information on websites and connect them to customer service faster
Language Translation: ChatGPT can be fine-tuned to translate text from one language to another by training on the bilingual corpus.	Feedback and complaint registrations: These can be used by companies to register complaints and feedback by users on various company websites

Listing out the Pros and Cons

ChatGPT pros	Chatbots pros
High accuracy in understanding and generating natural language	Tailored to the specific needs and requirements of the organization
Can handle a wide range of topics and tasks	Can be integrated with existing systems and databases to provide more accurate and relevant information
Can be fine-tuned to specific industries or use cases to improve performance	Can be cost-effective to implement and maintain
Can be integrated with other technologies such as voice assistants and virtual reality for enhanced user experience	Can be easily updated and customized as the needs of the organization change

 

Listing out the cons

ChatGPT cons	Chatbots cons
Requires a significant amount of computational power and resources to run	Limited to the specific domain and information available within the organization
Can be expensive to implement and maintain for owner of the platform	May not have the same level of accuracy and performance as a large language model like ChatGPT
May require a high level of technical expertise to set up and fine-tune	May require ongoing maintenance and development to keep up with changing needs and technologies.
Failure during work can affect a wide range of users since used widely across the globe by the public and at the same time	Technical failures are common and can be rectified by the company responsible for development and maintenance, this can be time-consuming and can often lead to user dissatisfaction as these are tailored to make the life of users easier.

 

Limitations:

ChatGPT	Chatbots
A platform new to the market and improving based on feedback from the market.	Limited understanding of natural language: Chatbots can have difficulty understanding and interpreting human language, especially when it is spoken in a colloquial or idiomatic manner. This can lead to confusion and frustration for users.
It has knowledge limitations till 2021. This knowledge cut-off refers to the date until which ChatGPT training data was updated, though it has the capability to understand natural language and retrieve information from the internet. E.g., it may be able to generate information about the reader of this article if he or she is not a world-famous personality while Google is able to retrieve all information available about a common user which is online like social media profiles etc.	Limited capability: Chatbots are designed to perform specific tasks, and may not be able to handle more complex or open-ended requests. Chatbots may struggle with understanding ambiguous or open-ended questions, which can lead to confusion or frustration for users.
Cannot work as search engine like Google which can search for information, answer questions, and provide suggestions but ChatGPT is designed to generate human-like text based on the input it receives from human users. Search engines like Google have access to a vast amount of information from all over the internet, whereas ChatGPT knowledge is limited to the text that it was trained on.	Limited context: Chatbots are not able to retain context from previous interactions, which can make it difficult for them to understand user’s needs in a conversation.
Search engines like Google use complex algorithms to rank and organize information in a way that is most useful to the user, whereas ChatGPT simply generates text based on the input it receives from users.	Limited emotions: Chatbots like ChatGPT are not able to interpret or respond to emotions in the way that humans can, which can make them seem unresponsive or unhelpful in certain situations.
Limited understanding of context: ChatGPT is a language model that can generate human-like text, but it does not have the ability to understand the context of the conversation.	Chatbots can not provide personalization as they are not able to learn from the user’s preferences, history, or behavior.
Limited understanding of the world: ChatGPT has been trained on a large dataset of text, but it does not have the ability to understand the world or make inferences about it.	Chatbots are programmed to handle a limited number of interactions and are not able to adapt to new scenarios or learn from new data.
Limited ability to handle complex tasks: ChatGPT is a language model and it is not able to handle complex tasks such as image or speech recognition.	Chatbots are vulnerable to hacking, data breaches, and other security threats, which can put user’s personal information and privacy at risk.
Limited ability to understand emotions: ChatGPT is not able to understand or respond to emotions like a human can.	Limited ability to handle multiple tasks: Chatbots are typically designed to handle one or a few specific tasks, and may not be able to handle multiple tasks or switch easily between them.
Limited ability to maintain privacy: As a language model, ChatGPT cannot maintain privacy as the input provided by user will be stored and may be used for training or other purposes	Limited ability to handle multiple channels: Chatbots are typically designed to work on one specific channel, such as a website or mobile app, and may not be able to handle multiple channels or platforms.
Limited ability to generalize: While it can generate text on a wide range of topics, it may not be able to generalize well to new or unseen situations.	Limited ability to handle multiple languages: Chatbots may only be able to understand and respond in one or a few languages, which can limit their usefulness for multilingual audiences.

 

Cyber Security Threats:

Both like any other software or technology, are not immune to cyber security threats. Here are a few potential security risks that organizations should consider when using ChatGPT and ChatBots.

ChatGPT	Chatbots
Data breaches: ChatGPT is trained on large amounts of text data, and if not properly secured, this data could be vulnerable to unauthorized access or breaches.	Data breaches: Chatbots often collect and store personal information, such as user names, email addresses, and credit card numbers. If this data is not properly secured, it could be vulnerable to unauthorized access or breaches.
Model tampering: ChatGPT models are typically hosted on cloud servers, and if not properly protected, they could be tampered with by malicious actors, resulting in a loss of accuracy or integrity.	Privacy violations: Chatbots may be collecting sensitive personal information from users, such as medical records or financial data. If this data is not properly secured, it could lead to privacy violations.
Adversarial attacks: ChatGPT is a neural network, and like any machine learning model, it can be vulnerable to adversarial attacks. These attacks involve manipulating input data in a way that causes the model to make incorrect predictions.	Spoofing: Chatbots can be spoofed by malicious actors, who can impersonate the chatbot and trick users into providing sensitive information.
Privacy violations: ChatGPT is often used to generate text that can include sensitive personal information, such as social security numbers, credit card numbers, etc. If data is not properly secured, it could lead to privacy violations.	Phishing: Chatbots can be used to conduct phishing attacks, where users are tricked into providing sensitive information, such as login credentials or credit card numbers.
Inference attacks: If an attacker is able to access a fine-tuned version of the model, they may be able to infer sensitive information about the training data	Bot hijacking: Chatbots can be hijacked by malicious actors, who can take control of the chatbot and use it to conduct malicious activities, such as spreading malware or phishing attacks.

To mitigate these risks, organizations should take appropriate security measures such as using encryption, authentication, and access controls to protect data and models. Regular security audits and monitoring should be conducted to ensure that the system remains secure. It is also important to ensure that the data used to train the model is properly sanitized, to minimize the risk of sensitive information leakage.

Conclusion:

Thus, it is clear that ChatGPT is a powerful tool that can provide high accuracy and performance, but it may not be the best option for all organizations. Company chatbots can be a cost-effective and efficient solution for organizations with specific and limited needs.

Both ChatGPT and Chatbot have been developed to make the lives of users easier. Based on the need, target audience, and goals, the company needs to choose and gain benefits. Currently, ChatGPT is open for public use and individual users are starting to use ChatGPT for a variety of contexts which will keep evolving with time. Chatbots can be developed and implemented for specific target users in different domains and Chatbots functionality can be improved by developers through the use of ChatGPT.

 

About Brainbox Consulting:

Brainbox Consulting is headquartered in the Netherlands having a presence in India and USA with more than 5+ years of Procurement Industry experience in SAP procurement solutions with 20+ Ariba certifications with various models. We are a company that specializes in consulting services and manages the end-to-end spend management process with business, functional and technical expertise, thereby helping companies optimize and streamline their procurement processes, from identifying suppliers to making payments, and enabling better adoption of procurement technology especially SAP Ariba.

ChatBots as part of Innovation Garage

Brainbox Consulting also has an Innovation Garage where our experts and clients can come together to brainstorm, prototype, and develop new ideas or products based on business needs to support or supplement existing technology. Here we research and identify the needs, generate innovative ideas, develop prototypes, and test both internally and in the market to generate feedback. Finally, develop the application with improvements suggested during the testing phase.

Customized procurement Chatbots are a product of our Innovation Garage. These Chatbots can carry out small budget purchases, requisition creations, generate purchase orders, check the status of orders, generate invoices, and many such automated processes that can make work easier for procurement teams, while Procurement Leaders can strategically use their valuable time in critical & high-value orders. Brainbox Consulting Product Development team often collaborates with the client team and based on specific needs can develop chatbots with functions customized for individual clients.

To know more about our used cases of Innovative Chatbots, contact us today!

You can also send your queries to sales@brainbox.consulting or connect directly with our experts on LinkedIn.