An AI chatbot application requires a framework that contains a collection of pre-written code, sample codes, libraries, templates, and guidelines that simplify the development process. Frameworks basically dictate the internal structuring of the application and how its components should work together. Let’s explore how you can craft your own AI chatbot using the Golang framework with hire AI developers.
What is an AI Chatbot?
An artificial intelligence chatbot is a computer language program that uses AI to stimulate human-like conversation. It’s been integrated by natural language processing and machine learning to understand the human language and provide relevant responses. AI chatbots work on two principles: knowledge-based chatbots and generative AI chatbots.
AI chatbots are being used for various tasks, websites, messaging apps, social media platforms, and voice assistants.
There are numerous benefits of using AI chatbots. AI chatbots can provide faster and more efficient user service. Chatbots can handle a large volume of repetitive queries, which results in freeing up human agents they focus on more complex issues and enhance their productivity. AI chatbots are always available 24*7 and more.
Modern chatbots are being trained on large language models (LLMs) known as generative pre-trained transformers, which are based on a deep learning architecture known as transformers, which contains artificial neural networks.
Let’s know more about how using the Golang framework and integrating OpenAI can help create an AI chatbot.
Why Use Golang and OpenAI to Build a Chatbot?
We have seen that to build an AI chatbot, one should be familiar with frameworks that offer pre-built code, tools, and libraries for some basic functionalities, such as natural language processing and dialogue management. So, using the Golang framework for developing an AI chatbot could be beneficial due to scalability and performance with advanced capabilities in natural language processing.
Go was created by engineers working at Google back in 2009. Golang frameworks allow you to write APIs and web services directly and easily.
Golang offers a single language-focused coding, which means you do not need to know other languages; developers can use it with basic knowledge of the English language. Golang is considered to more faster performance than any other programming language, like Python or C++.
Golang handles vast libraries, and quite naturally, one of the most popular amongst programming languages across the world. Golang is an advanced programming language that offers speed, accuracy, and is best for a wide spectrum of uses combines including code writing, compiling the code to documents, deployment, and execution of the program.
Step-by-Step Guide to Build an AI Chatbot
To build an AI chatbot, we need to go through a structured process, which includes conversational designers, AI and machine learning experts, and developers.
Here’s a detailed breakdown process of crafting an AI chatbot from scratch.
1. Identify the purpose
As AI chatbots serve various purposes, so first need to know the purpose behind crafting an AI chatbot. You should be as clear and specific as possible. Start analyzing your thoughts, are you creating an AI chatbot to augment your customer support team or completely automating the process, and what would be the core feature of your future AI chatbot?
2. Best channel to choose for an AI chatbot
It’s a crucial factor to decide to choose where your AI chatbot will be placed, for your users to find out with ease.
Including options like, mobile app, your website, social media platforms such as WhatsApp, Instagram, Facebook, or more.
For businesses that are working on a large scale as well as on a medium scale, they should choose a multi-channel approach to reach a wide range of customers.
3. Choose the right tech stack to craft an AI chatbot
It’s an important factor to choose the right tech stack, which includes choosing suitable technologies for NLP, ML, backend, frontend, and database management.
4. Build a knowledge base for ChatGPT
The knowledge base ChatGPT must include enough data, with a lot of high-quality, relevant data.
5. Design the chatbot conversation
To design a chatbot conversation, configure a decision tree with actions and messages that users interact with. It includes a machine learning model that can be considered a flowchart, which provides all the possible responses your chatbot can give depending on what users say.
6. Integrate and test the chatbot
Integrate and test the chatbot functionality with the product it was designed for. This includes designing a user-friendly interface with the expert and skill-based team of UI/UX designers.
7. Launch and monitor your AI chatbot
Deploy it on the respective channels and ensure it to maintain and monitor using metrics like user engagement, task completion rates, and response times. Identify conversation logs, user feedback, and make adjustments to improve its performance and user experience.
How much does it cost to build an AI chatbot?
The cost to develop an AI chatbot can greatly depend on its features and functions. Basic features and functions include $5,000 to $ 50,000, and complex features and functions may include $50,000 to $150,000+.
Conclusion
Creating an innovative AI chatbots technologies bring new opportunities to business and users,improves customer engagement and loyalty, reduces operational costs, capture customer data directly, and more. It offers vast benefits to industries like healthcare, banking and financial services, government, HR, insurance and more. So, are you also thinking of to built next innovative AI chatbot, roll up your sleeves and and start exploring Golang’s vast ecosystem.
