The GPT-3 chatbot has taken the world by storm.
Only a few years ago, terms like “ChatGPT” and “Generative AI” were virtually unheard of in the business space. Now, it seems like GPT technology is all anyone can talk about.
Marking a new era for chatbot creation, GPT technology, and other solutions built with large-language models are significantly impacting the customer experience landscape.
Countless vendors, from Salesforce to Microsoft, are now investing in building their own generative bots for various use cases. At the same time, the hype around GPT-3 and similar tools have accelerated the growth of the chatbot market.
By 2032, the market for chatbot technology is set to be worth around $4.9 billion.
So what is a GPT-3 chatbot, and how does it influence customer service?
What is a GPT-3 Chatbot?
A GPT-3 chatbot is a programmable artificial intelligence application powered by generative AI. Specifically, GPT-3 is the language model produced by OpenAI, used to form the first version of ChatGPT. “GPT-3” stands for “Generative Pretrained Transformer 3”.
GPT-3 chatbots utilize the underlying language model created by OpenAI to interact naturally with human beings. The software that powers these bots includes over 175 billion machine-learning parameters. These parameters help the GPT-3 bot analyze human input in text form.
OpenAI’s GPT-3 chatbot technology can analyze, understand, and respond to customer questions. It can predict intent and needs based on a single word and respond to queries with natural human language.
The hype around ChatGPT has prompted countless companies to implement GPT-3, GPT-3.5, and GPT-4 language learning models into their ecosystems, particularly in the contact center. The rise of this technology has also inspired other brands to create similar large language models.
For instance, Zoom recently partnered with the AI developer Anthropic to create its own competitor to ChatGPT, Claude, ready to be deployed within the Zoom CCaaS platform.
Is a GPT-3 Chatbot ChatGPT?
The GPT-3 chatbot represents a new era for chat technology based on generative AI. However, as a relatively new technology, it has sparked some confusion among companies.
For instance, people frequently use the terms “GPT-3” and “ChatGPT” interchangeably. However, while OpenAI created both solutions, they serve slightly different purposes.
ChatGPT is a specific tool designed for chatbot applications, while GPT-3 is a more general-purpose model used for various use cases. ChatGPT excels at generating responses to questions with conversational context, while GPT-3 is better suited to language translation and content creation.
Notably, GPT-3 is also a more customizable solution. Though OpenAI has created enterprise-grade APIs for companies looking to access ChatGPT in business operations, ChatGPT isn’t an open platform. GPT-3, as well as other large language models, are available to access and customize.
With GPT-3 and similar solutions, companies have more freedom to take full advantage of the generative AI ecosystem. Brands can create GPT-3 chatbots tailored to specific use cases, such as serving customers on a financial app or responding to troubleshooting requests.
How Does a GPT-3 Chatbot Work?
A GPT-3 chatbot and other generative AI bots created with similar large language models use deep neural networks, massive databases, and machine learning to interact with humans. A GPT-3 chatbot, unlike a standard conversational bot, can deeply analyze and understand customer queries.
GPT-3’s large language model adds greater contextual understanding and pattern recognition to the processes of scripted bots. Like other generative language models, GPT-3 chatbots use statistics drawn from vast volumes of data to predict and generate outputs based on specific inputs.
The pre-trained technology offered by OpenAI with the GPT-3 model makes it easier for customer service departments to create and launch their own bots quickly. There’s no need to develop new AI and machine learning tools, meaning virtually any business can use generative AI.
Part of what makes a GPT-3 chatbot unique is its ability to draw context and meaning from structured and unstructured interactions. These bots can process information almost in the same way as a human brain, leading to more natural conversational experiences.
The Evolution of GPT-3 Chatbots: GPT-3.5 and GPT-4
Although business leaders and contact center vendors have only recently begun exploring the benefits of GPT chatbot technology, the underlying model has been around for a while. The GPT-3 technology was released in 2020 and was fine-tuned in 2022 to create GPT-3.5.
In March 2023, OpenAI released the next version of its GPT language model: GPT-4. This updated version of the GPT technology takes the abilities of LLM bots to the next level. GPT-3 is 40% more likely to serve factual responses than GPT-3.5.
Additionally, GPT-3 can process 25,000 words (eight times more than GPT-3), handle image input, and deal with far more nuanced instructions than GPT-3.5. GPT-4 also addresses some major concerns of companies using GPT chatbots for customer service.
The solution is 82% less likely to respond to requests for inappropriate content. It’s also faster and more efficient than its predecessors. GPT-4 chatbots could lead the way to new opportunities in customer service, offering enhanced multi-media information sharing and more secure interactions.
How to Create a GPT-3 Chatbot
The GPT-3 chatbot model and OpenAI’s GPT-3.5 and GPT-4 solutions are now available to access online. However, creating a GPT-3 chatbot from scratch can be complex. It requires deep knowledge of development languages, like Python, and access to an OpenAI API key.
Fortunately, OpenAI and other development companies are making it easier for business owners to access and customize their GPT-3 chatbots. OpenAI’s decision to launch ChatGPT APIs for business leaders has already led to an influx of companies embedding GPT chat technology into their ecosystems, such as Shopify and Snap.
Contact center vendors are also working with OpenAI and other developers to implement GPT-3 chatbot capabilities into their existing tools.
Cyara integrated GPT-3 into its ecosystem to speed up the creation of training and testing data for Cyara Botium, the brand’s conversational AI assurance solution. Five9 also recently launched two new products, leveraging GPT-3 chatbot technologies: AI Insights and AI Summaries.
The AI Insights tool combines GPT-3 with real-time transcription to interpret customer conversations and arrange them into categories. The AI Summaries tool, on the other hand, supplements Five9’s agent-assist solutions by auto-summarizing interaction transcripts and uploading them to CRMs.
However, companies aren’t just investing in OpenAI’s technology for GPT chatbots. The growing hype around GPT-3 bots has prompted many organizations to experiment with their large language models and innovative tools.
The Google AI contact center now uses its own GPT technology to provide companies with a way of building their own generative AI bots for customer service requirements.
