Customer Service Glossary

What Are GPT-3 Chatbots?

GPT-3 chatbots are programmable artificial intelligence applications developed by OpenAPI and powered by the GPT-3 language model. Also known as “Generative Pretrained Transformer 3,” the language processing software includes more than 175 billion machine learning parameters. The parameters help the GPT-3 bot analyze a communication input (such as a customer support request) and generate an appropriate response. 

While building GPT-3 chatbots using a platform like OpenAI’s GPT-3 engine, Twilio’s SMS, or Python, companies can train the program to engage in human-like written or spoken communication. The advanced application relies on deep learning, operator tutorials, and a vast knowledge base sourced from an online training set to generate natural conversation with customers. 

Unlike other bots, GPT-3 bot messaging services can provide a helpful response to virtually any type of customer query. That said, training the complex language model technology is relatively simple, thanks to its user-friendly application programming interface (API).

To train the GPT-3 bot, companies can input text into an API tutorial tool. Then, the software will work to create a response based on the information. After a few rounds of training, the GPT-3 bot will use the style, tone, and content of the provided information to generate future responses.

How Do GPT-3 Chatbots Impact Customer Service? 

Powerful GPT-3 chatbots can generate conversation that is almost impossible to differentiate from that of live customer service agents. As a result, the AI system can resolve support requests in seconds without the need for a live customer service agent.

Additional benefits of incorporating GPT-3 technology into customer service bots include: 

1. Improved Communication

GPT-3 chatbots use deep learning to consume nearly 500 billion words and numbers. Companies can then tailor the bots’ responses using GPT-3’s streamlined API. In minutes, the language model can analyze and respond to customer questions, use predictive technology to anticipate client needs, and provide self-service resources that suit the context of the conversation.

In addition, GPT-3-powered instant messaging apps allow users to connect instantly, reducing lag time and improving customer satisfaction. The bots can also gather pertinent information before escalating concerns to live agents, allowing customer service associates to prioritize requests and reducing support costs by 30% or more.

2. Enhanced Support for Customer Service Agents

Programmable GPT-3 chatbots can help answer customer questions and direct clients toward helpful resources. However, live agents are still a necessary aspect of every company’s customer service department. 

GPT-3 bots can help support customer service departments by clarifying customer requests, escalating issues to a suitable channel, and storing past interactions to ensure personalized, relevant assistance. 

3. Increased Customer Satisfaction

In a study conducted by Uberall, 80% of customers admitted that they have had a positive experience with AI-powered bots. The technology works on several layers to increase user satisfaction. From instant responses to efficient solutions, the increasingly popular technology has become a vital aspect of customer service departments worldwide. 

How Do GPT-3 Chatbots Work?

Enhancing automated instant messaging services with GPT-3 technology provides the tools to analyze and understand customer queries and carry on a human-like conversation. GPT-3 adds an instant boost of contextual understanding and pattern recognition to scripted bots. Because of this, bots can instantly identify a change in conversational context and access new information to generate a response. 

The actions that power the GPT-3 language model can be found in the software’s name: Generative Pretrained Tranformer. Generative language models use statistics to predict — or generate — an output based on a specific input, such as a user’s question. 

The pretrained technology makes it easy for customer service departments to launch it immediately. Finally, the transformational aspects of the application can identify a keyword in a phrase, determine how often the words occur together, and then use the prediction to generate an appropriate, human-like answer. 

Perhaps most importantly, GPT-3 technology can determine context and meaning from both structured and unstructured interactions. As a result, it can create knowledge graphs that improve chatbot responses, and it can then expand the knowledge graphs. 

GPT-3 Chatbots for Customer Service

While GPT-3 technology has yet to become widely adopted, the flexible language model and user-friendly API have the potential to revolutionize AI-powered customer support. GPT-3 bots can analyze, understand, and respond to customer questions; predict needs based on a single word; and enhance their human-like responses with every interaction. By leveraging the advanced power of GPT-3, companies can improve customer support while reducing costs by as much as 30%.