Auto Bot Builder uses the power of large language models to automatically build advanced conversational chatbots customized to enterprises
Gupshup, a conversational engagement platform, has launched Auto Bot Builder, a tool that harnesses the power of generative pre-trained transformer-3 (GPT-3) to automatically build advanced chatbots. Auto Bot Builder leverages the GPT-3 LLM (Large Language Model) and fine-tunes it using a proprietary enterprise knowledge base and domain expertise, resulting in a chatbot specialised to an enterprise.
This enables enterprises to incorporate the latest advances in artificial intelligence (AI) technology, in a no-code environment, into their conversational experiences to substantially enhance their customer engagement, said Gupshup.
It reduces the time and effort it takes to create conversational journeys, enabling enterprises to develop more journeys faster for use cases across the entire customer lifecycle, it added.
With the Auto Bot Builder tool, a user can build a chatbot using content from their website, documents, message logs, product catalogs, database, and other corporate systems of record. The tool reportedly accepts the content of any size, processes it and fine-tunes the Large Language Model (LLM) to the specific context.
Auto Bot Builder is also capable of handling really large content sets, however, it will need special pre-processing.
Furthermore, Gupshup said that it has already developed fine-tuned instances of industry-specific models based on its proprietary training data and domain expertise that provides a head-start in creating enterprise-specific conversational experiences.
Gupshup has been working with companies in numerous verticals including banking, insurance, e-commerce, retail, gaming, healthcare and more. Thus, it makes Auto Bot Builder versatile in supporting a wide variety of enterprise requirements, with in-depth vertical knowledge, said the company.
Built on large language models (LLMs), the chatbots can handle virtually any natural-language query posed by the user and provide meaningful responses in almost all scenarios.
Businesses can build these chatbots for each stage of the customer lifecycle including marketing, commerce and support. Use cases include marketing offers, lead generation, product discovery, product recommendations, shopping advice, troubleshooting, customer support, etc.
“GPT-3 represents a massive improvement in language and conversational abilities. We’re excited to help enterprises harness the power of LLMs to enhance their customer experience,” said Beerud Sheth, chief executive officer (CEO) of Gupshup.
The Auto Bot Builder amplifies and accelerates the results that enterprises derive from conversational experiences. With the newly enabled, AI-powered chatbots, enterprises substantially improve customer engagement, increase revenue and decrease support costs.