People continue to ask us, so we asked ChatGPT directly: ‘What is the difference between Amelia and ChatGPT?

ChatGPT is firmly planted on the technology industry’s center-stage. With a $10 billion investment from Microsoft in ChatGPT vendor OpenAI, and Google debuting its own competing offering, everyone with even a tangential industry connection is offering up their opinion on how generative AI models will irrevocably change jobs and functions currently dominated by humans (software coding, creative writing, customer service, etc.).

All of this activity takes on a different dimension for us at Amelia, as we’ve been repeatedly asked in the past several months by clients, partners and the press how Amelia’s Conversational AI capabilities differ from those of ChatGPT. We’ve offered our own viewpoints on ChatGPT’s potential impact on Conversational AI (check out this interview with Amelia CTO Chetan Dube and an accompanying blog for more), and still questions understandably persist.

So we took the next logical step — we decided to directly ask ChatGPT the following: “What is the difference between Amelia and ChatGPT?” Here’s the response:

While both Amelia and ChatGPT are based on advanced natural language processing technology, they are designed for different use cases and have different capabilities.

Amelia is a virtual agent platform that is specifically built to automate customer service and support tasks, such as answering customer inquiries, providing information, and solving problems. It is designed to understand and respond to customer inquiries in a human-like way, and it can also integrate with other systems and databases to provide accurate and relevant information.

ChatGPT, on the other hand, is a large-scale language model that can be used for a variety of natural language processing tasks, such as language translation, text summarization, and question answering. It is a general-purpose language model that can generate human-like text based on a given prompt.

In short, Amelia is a specialized solution that is built to automate customer service and support, while ChatGPT is a general-purpose language model that can be used for a variety of NLP tasks, Amelia uses ChatGPT as a building block to generate its output, but Amelia also has additional features and capabilities that are specific to customer service and support use cases.

Of course, as anyone who has utilized the tool will tell you, you can ask ChatGPT the same question and receive a differently worded response, or one that’s nothing at all like a previous answer. We, however, explored the issue even further by asking some follow-up questions:

While, not surprisingly, we agree with these answers, it’s neither our desire nor our intention to be drawn into some kind of ongoing comparative test between ChatGPT and Conversational AI. After all, in a way, we share the same lineage, as Amelia has been using generative language models similar to ChatGPT in designing and deploying business-specific digital agents for our clients for many years.

For those who need it, our exchanges with ChatGPT provide a solid framework for understanding important distinctions between ChatGPT, as a tool in its current form, and Amelia’s Conversational AI: general-purpose vs. specialized, probable vs. deterministic outcomes, and a reliance on wide-ranging information sources vs. integrating with specific data and enterprise systems to conduct and complete interactions.

In truth, we’re just at the beginning of the discussions and predictions about ChatGPT’s future. As we’ve stated, we’re excited that ChatGPT is generating so many animated exchanges about AI’s impact on people’s professional and private lives, as these are the kinds of conversations that we have with customers every day (and we welcome more). However, as the trend continues, the industry should keep in mind that not every AI-powered tool or solution is the same as another — even ChatGPT will tell you so.