How to Build an AI Chatbot like ChatGPT? A Guide to Building Your Own Chatbot (No Code)

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Whether running a large-scale or one-person business, you will likely spend a ton of time and resources improving customer experience, be it answering queries or personalizing the buyer journey.

Now imagine if you can do that at a fraction of the cost. Yes, we are talking about integrating AI chatbots like ChatGPT into your business. With a custom chatbot, you will save money and time and change how customers interact with your platform or application.

But how can I create a bot like ChatGPT? You might ask.

You can create your bot, like ChatGPT, using the same GPT-4 language model to train your custom data. You can leverage the API of the model and avoid building the infrastructure yourself.

In this blog, we will cover:

  • What is ChatGPT
  • Benefits of using Chatbots in your business
  • What goes into building ChatGPT-like chatbots
  • How you can build chatbots without coding

Let’s dive in!

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What is ChatGPT?

ChatGPT is a multimodal conversational AI chatbot by OpenAI built on the latest transformer model GPT-4. It can process text and images, unlocking a new dimension in AI-human interaction. ChatGPT is also more advanced than other chatbots, with more extended context memory and advanced reasoning.

The GPT-4 model even introduced fine-tuning of AI behavior to ChatGPT. This means you can create a personality for your chatbot, and it will stay consistent throughout the conversation. These new functionalities brought by GPT-4 made ChatGPT a powerful tool, resulting in enterprises like Stripe and Morgan Stanley exploring business use cases.

In brief, ChatGPT is an AI chatbot created by OpenAI that has remarkable abilities to synthesize information and generate human-like responses that can be applied in many real-world use cases.

custom AI chatbot

Benefits of Using AI Chatbots like ChatGPT

ChatGPT is a superpower. You can use it beyond daily life use cases. You can integrate it into your application or website to improve user interactions and reduce time spent on repetitive tasks.

As a result, your business could see an uptick in conversion rates, open up new product offerings, and streamline internal operations. Let's dive into each of these benefits to understand in detail the upside of using AI chatbots like ChatGPT in your business.

1. Drives More Conversions

A low conversion rate usually results from poor user experience when a customer lands on your platform. You either lose due to unresponsiveness or lack of personalization. With ChatGPT at your disposal, you can overcome these issues instantly.

You can use ChatGPT to improve your customer support. Instead of having an executive answer queries, you can feed your data to ChatGPT and let the bot handle all queries. As it's a conversational AI with the know-how of your business, it will keep customers engaged and give them actionable insights.

Furthermore, ChatGPT can help simplify the buying experience for customers by being a personal AI guide. For example, let's say you're running a D2C clothing store. Without an AI guide, discovery is time-taking for customers. They might even miss out on key information like discounts and sales. With an AI guide, they can state what they're looking for, and the bot provides product recommendations.

2. Streamlines Internal Operations

When you're operating at scale, you likely face friction in certain internal operations like onboarding, schedule-making, and billing. With ChatGPT, you no longer need human assistance to cater to these tasks.

For example, let's say you recently hired a developer. Normally, the developer has to review all the documentation to understand how everything works in the organization. Still, he/she may be confused. But when you use ChatGPT, which has all developer documentation, he/she can easily find answers and get onboarded in a smooth fashion.

3. Boosts Product Offerings

The AI era is upon us. So it won't be enough to level up in terms of user experience alone, but you also have to level up your product offerings to have a competitive edge.

For example, if you're building a game, try to incorporate AI to make each player's experience unique. This could mean making interactions with non-playable characters (NPCs) more personalized based on player behavior.

You can also apply ChatGPT to educational platforms. Instead of simply providing answers, you can use ChatGPT to become a personal tutor for students. Duolingo and Khan Academy are among the companies using ChatGPT this way.

What Goes Into Building an AI Chatbot Like ChatGPT?

So you understand the benefits of chatbots for your business and want to build one. But do you know what the process actually looks like? And what kind of resources would you need to build an application like ChatGPT? Let's find out!

1. Data Collection

The first step to building an AI chatbot like ChatGPT is determining what data you want to feed to your machine-learning model. The key here is to find legitimate sources of data. If you are searching for general data available on the web, you can try using trained data of existing language models.  

When it comes to data related to your business, you have to be ultra-specific and detailed. This is because your chatbot will only be reliable when it has all the information to answer a user query. The dataset can include your company policies, FAQs, text documents, etc. More importantly, you also need to ensure proprietary and personal data is off limits because an AI chatbot is not always predictable.

2. Data Pre-Processing

Before training your model, you must clean or pre-process your data. This involves tokenizing and encoding input data into unique fixed-length integer sequences. The time for pre-processing also varies based on the size of your dataset.

3. Training Loop

Once the data model is pre-processed, you can start your training loop to fine-tune the model to your requirements. Fine-tuning would make your machine learning model adapt to new tasks without needing to train from scratch. For example, you train your model on product recommendation tasks, but it can also perform product description tasks.

The main thing to consider while training is computational costs. You must buy many high-quality GPUs that can cost hundreds of thousands of dollars to do a single training run. So the cost of training can quickly eat into your capital. But owning your AI infrastructure, in the long run, is always good.

4. Building App Interface

After fine-tuning and testing your model, you must build an app interface with your branding that users can interact with to enter inputs and view outputs. In the case of ChatGPT, the website you use is an interface that allows you to tap into the powers of OpenAI's GPT-4 language model.

Main takeaway: Building AI infrastructure is expensive and time-consuming. And you may not even need it on day 1. So you can build your own AI chatbots like ChatGPT by using its underlying language model GPT-4 through an API.

Introducing Chatsonic's GPT-4 Enabled API

Chatsonic is a GPT-4 powered AI chatbot. It is one of the best ChatGPT alternatives that are more reliable and accurate. Chatsonic is a true multimodal AI chatbot that can generate images and text.

Like ChatGPT, Chatsonic also has an API that can be used to build custom chatbots for different use cases. In this section, let's dive into what Chatsonic's API offers and how you can access it.

custom AI chatbot

Why Choose Chatsonic’s API Over ChatGPT API

While Chatsonic and ChatGPT use the same GPT-4 language model, Chatsonic provides a more all-around API that is more reliable to build real-world use-cases. Here’s why:

1. Provides Real-Time Insights

ChatGPT has gotten an upgrade with GPT-4. It helped with reasoning abilities and context memory. But what didn’t change is the training data. ChatGPT’s training data is only till 2021, so it cannot provide real-time insights.

In contrast, Chatsonic can provide hyper-relevant insights into any topic on any day as it’s integrated with Google search. From a business standpoint, a chatbot that can extract information in real-time is useful because customers can use your AI bot for real-time search and proceed on their buying journey.

custom AI chatbot

2. Image generation is possible

GPT-4 made ChatGPT multimodal. But it’s only for the input setting, meaning you insert images as input and generate text as output. So you still can’t generate images using ChatGPT.

With Chatsonic API, you can generate stunning images created using Stable Diffusion or DALL-E. This can be a great addition to many photo editor applications as it can drive more creativity and collaboration among artists.