On November 30, 2022, leading AI research laboratory OpenAI released ChatGPT — a generative AI tool that focuses on the generation of new data and allows users to converse with the AI by asking it questions. Think Google but instead of search listings you receive a natural language answer. More than one million users interacted with Chat GPT in its first week and as a result has taken awareness of AI and its benefits mainstream.
ChatGPT describes itself (yes, you read that right) as “a variant of the GPT-3 model specifically designed for chatbot applications.” Essentially, it’s one example of the power and potential of OpenAI’s GPT-3 neural network — the same network that Yabble uses as the basis for its market research tools.
ChatGPT is an undeniably impressive tool but when it comes to customer insights, read on to see how Yabble is harnessing this technology to specifically help market researchers and insights professionals.
How are Yabble and ChatGPT similar?
While they’re used for different purposes, both ChatGPT and Yabble use GPT-3's AI and natural language processing capabilities to underpin their functionality.
In the same way that ChatGPT has been trained on a massive dataset of conversational text in order to be at its most powerful and impressive in a chatbot context, Yabble has been trained on proprietary algorithms designed by research experts in order to be at its most powerful and impressive in an insights context.
In other words: ChatGPT is a cutting-edge chatbot. Yabble is a cutting-edge insights platform for the market researcher.
What’s the difference between ChatGPT and Yabble?
Here’s the critical difference:
ChatGPT works with data it’s been trained on. Yabble works with your unique unstructured data.
Using the data within GPT-3, ChatGPT can write an academic paper, come up with simple explanations for complex scientific concepts, or create jokes.
Yabble applies our unique technology (proprietary algorithms layered on top of GPT models) to your unstructured datasets — theming and sub-theming your data, giving you conversational answers to open-ended questions about a dataset, and producing meaningful insights summaries from long-form data such as interview transcripts.
The difference is in the personalization; you can’t upload your own data into ChatGPT — but with Yabble, you can upload and analyze any source of unstructured or long-form data, including product reviews, survey responses, employee feedback, NPS feedback, social media comments, podcast episodes, call center transcripts, and interview transcripts.
When should I use Yabble?
The short answer is anytime you want quick, rich customer insights to help your business from your own unstructured text data. With the knowledge our platform gives you, you can get an in-depth understanding of your audience, unlock the “why” behind your data, improve productivity and collaboration, and validate business strategy.
Want to see it in action? Join our latest webinar to see how Yabble's Count, Query, and Summarize tools can work for your business. Book your place here!
