ChatGPT, an AI-driven chatbot, has made people’s life easy by generating new and relevant content based on input queries. There are many tasks in a business that do not actually require the involvement of the human brain and can be easily automated. Since technology has become extremely advanced, chatbots can reduce human effort.
There are a number of instances that show that chatbots could easily replace human beings for tasks that are mainly no-brainers. For instance, think of customer support in general. Similarly, roles like that of an online health assistant that tracks patients’ health by checking their symptoms from time to time, or a financial educator teaching newbies the ins and outs of cryptocurrency, can be passed on to AI-driven chatbots.
If you are looking forward to developing your own AI model that can provide you with conversation-based assistance, this article discusses how you can do so. Read on to find out.
Building Your Own AI-Driven Chatbot
If you are willing to build your own AI-driven model, you must follow a few steps. Below are some steps that will help you build a ChatGPT-like chatbot.
Identification of Targets
The first step to building one’s AI-driven bot is identifying the target audience. The discovery should be based on the current needs of the customers. Although AI is capable of mimicking human conversations and delivering human-like replies, the AI engine should be trained based on the data regarding customer requirements in such a way that it can keep the users engaged in a coherent, free-flowing and relevant conversation.
Obtaining the Proof of Concept
Proof of concept helps determine whether the execution of a certain idea or method is feasible. Before we design an AI-driven bot, we will have to gain an understanding of the core features of the application while putting minimal design to use. This will help to validate the idea and demonstrate its feasibility.
For instance, if we are to create an AI chatbot for a clinic so that visitors can book appointments online, we need to make sure that the bot is intelligent enough to provide the user with enough information about the services provided by the clinic, its address, availability of the doctors, phone numbers, and so on.
Designing and Choosing the Right Framework
This step is pretty straightforward. The basic requirement of a ChatGPT-like AI model is to have a background, a field for text entry, and messages.
A bot framework can save you a lot of time and effort. Based on the ecosystem that you prefer for your AI-driven model, you can choose a framework that will help you accomplish your task. Although there is no obligation regarding what programming language should be used for a ChatGPT-like AI-driven bot, it is ideal to use Ruby, Python, Lisp, and PHP.
Some examples of such frameworks are:
- Microsoft Bot Framework helps you build chatbots on Azure, which is Microsoft’s cloud. It incorporates the use of Language Understanding Intelligent Service for NLU and NLP.
- IBM Watson Assistant is another framework that is used to build a variety of chatbots. Watson uses various AI technologies like sentiment analysis and voice recognition, which help the users enjoy a personalized experience.
- Amazon Lex is another chatbot-building framework that helps to build conversational interfaces with the help of text and voice.
Testing and Deployment
Once you have developed the chatbot, you need to test it. Some of the problems that arise with chatbots are that they cannot keep a conversation flowing, fail to understand the users’ requirements and offer relevant answers, and so on. Therefore, an important aspect of the development stage is testing the ChatGPT-like AI model thus developed. This will also help you spot errors and any major drawbacks that might limit its use so you can rework or fix them before launching the final version.
Once you are satisfied with the model you have developed, you can release it.
Benefits of Using ChatGPT-like AI Models
AI-driven chatbots have a wide range of benefits. Some of them are listed below:
- AI models help enhance customer engagement. Chatbots respond to users in a clear and concise manner. Since users receive relevant and consistent information, it helps retain their interest in the business.
- They help to reduce the cost that would otherwise be incurred in manual customer service. Chatbots also reply instantaneously, meaning users do not have to wait for agents to join the chat and address their concerns.
- Chatbots also help gather information regarding customer behaviour, purchase patterns, latest requirement trends, etc.
- Chatbots are not limited to delivering answers in only one language. Therefore, this multilingualism is an added advantage.
Some Prerequisites for Creating ChatGPT-like AI Models
If you wish to create a ChatGPT-like AI model, there are some prerequisites that developers need to keep in mind. For instance:
- Developers need to possess a basic knowledge of computing. They should also be knowledgeable about different programming languages.
- Having an idea about deep learning and AI and ML principles is an added advantage.
- Anyone willing to create a ChatGPT-like model should also understand natural language.
However, if you are a beginner, you can opt for an online course that will equip you with all the skills needed to build your own AI chatbot.
Conclusion
Although the replies generated by AI-driven chatbots are not always accurate, they are a great replacement for the human workforce in a lot of tasks. These virtual assistants have ample scope for improvisation. For instance, the more data you add to the training dataset, the chatbot will be more powerful and responsive.
Adding features like sentiment analysis can also improve user experience by personalizing the conversation. However, you can make it even more interactive and generate customized conversations by improvising and adding more features like emojis, conversation tone, etc.
Such automatic models can boost businesses and help attract customers, as they can curate timely responses, making customers feel valued. If you wish to upskill and learn about ML, AI or NLP, consider enrolling in the courses offered by Eduonix.
