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AI writing tool, ChatGPT by OpenAI has been creating buzz within the tech community lately. OpenAI released GPT-3 sometime back in 2020. The neural network machine learning model can generate text based on the datasets it has been trained on. With ChatGPT, OpenAI has further improved the model to provide more interactive conversations for users.
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The AI writing tool has exceeded expectations and intrigued business houses across the globe. The possibility of having ChatGPT manage consumer interactions like customer service and automated responses is one of the potential prospects of the tool.
But how feasible the concept is and whether or not it can replace conventional chatbots is a different matter.
ChatGPT vs. traditional chatbots
Difference between ChatGPT and traditional chatbots
The concept of interacting with artificial intelligence-generated responses has existed for a while, with users reportedly being more accepting and increasing their usage over time.
But when it comes to traditional chatbots and AI writing tools, there is a difference between the two, even though both require manual data training to produce outputs.
ChatGPT is a distinct AI text generator trained on information collected from the internet and compiled into a massive database. This means the training for its responses is majorly based on human interactions to mimic chat-like features. Thus, it can take up any form of input, even if it's irrelevant to the required business task at hand.
Meanwhile, traditional chatbots have primarily rule-based or flow-based responses. Inquiries, solutions, and redirections are pre-programmed into chatbots, directing users toward dedicated solutions. They cannot provide info or responses outside of their dedicated responses.
Pros and cons of ChatGPT
As attractive as it may seem, the AI text generator from OpenAI has pros and cons. They have become increasingly significant in business environments where smooth internal and external communication is key to maintaining a professional workflow.
Let us take a look at the pros and cons of the AI tool in businesses:
Pros
1) Research: Situations requiring research on the service provider's behalf can be sourced from the AI writing tool. With its vast database of info and training, it can produce research material at a remarkable speed.
2) Modifying codes: Something that chatbots cannot do is help with writing programming codes. Although the quality of the codes may vary depending on the requirements, the AI tool can assist in smoothening the task.
3) Higher range of interactions: ChatGPT is built to provide a human-like experience and can thus have a higher range of responses for users than the linear responses from traditional chatbots.
4) Higher range of concepts: When tasked with generating ideas, it can quickly sift through its database and develop multiple concepts on any topic within minutes.
5) Translations: Another field where the AI tool shows is translation. Due to its training to converse in multiple languages, it can be used for translations.
Cons
1) Contextual responses: ChatGPT is trained to converse based on the user's inputs. But it lacks contextual info about the topic at hand. This can lead the conversation astray and generate unwanted results.
2) Relevance: Responses generated are often irrelevant to the subject of discussion and can produce inaccurate, confusing, or controversial outputs for the users. This is something that a business place cannot take a risk on.
3) Biased data: Since most of its training is based on human interactions, it can also pick up and implement biased client responses. This can result in unprofessional or offensive interactions actively avoided in business places.
4) Maintenance: The AI tool requires a large amount of data for training purposes. Thus, businesses without access to such databases will struggle to train and maintain the language model for personalized and focused use.
5) Privacy: The database used for its training could include sensitive information, which can result in security and privacy issues regarding user data.
6) Efficiency: With too much data at hand, a major issue can be a lack of efficiency in providing precise and targeted results for users. This is not a problem for chatbots as the dedicated outputs are pre-determined.
Although ChatGPT holds several advantages over traditional chatbots, it can also fall short in business environments that prefer efficiency over fluidity. That and a user's familiarity with traditional chatbots are why they are still an effective choice for many businesses.
With ChatGPT, a "Business" version will possibly be an effective introduction as info and communications training can be based solely on business requirements and formal interaction. But that remains to be seen.
The human-like responses are attractive and could potentially be of immense use in the future. The AI tool is yet to be optimized against its back draws, making traditional chatbots viable and safer options for businesses.
