Build advanced conversational chatbots, customized to your enterprises, powered by GPT-3
Auto Bot Builder is a powerful tool to build conversational chatbots powered by OpenAI's GPT-3, a 175 billion parameters state-of-the-art language model. Leveraging Auto Bot Builder, you can harness the power of GPT-3 to automatically and effortlessly build advanced chatbots tailored to your enterprise’s requirements.
The chatbots built with Auto Bot Builder will be trained on the enterprise knowledge base and public LLMs (Large Language Models) and fine-tuned with industry and function data training, to truly build an advanced chatbot, tailored to the enterprise. It will also reduce the time and effort it takes to create conversational journeys, enabling enterprises to develop more journeys faster across the entire customer lifecycle.
Creating chatbots for specific industries can be a challenging task, especially when it comes to industries like finance, retail, healthcare, and gaming, which have their unique set of language requirements.
With Auto Bot Builder, we're making building Industry specific bots easier than ever before. Our platform leverages the power of GPT-3, a state-of-the-art Large Language Model, to make the process faster and more efficient. But that's not all, we've taken it one step further and fine-tuned instances of industry-specific models based on proprietary training data and domain expertise that provides an even greater head-start in developing high-quality enterprise-specific conversational experiences.
The above capabilities make Auto Bot Builder truly versatile in supporting a wide variety of enterprise requirements, with in-depth vertical knowledge.
Built on large language models (LLMs), the chatbots built with Auto Bot Builder demonstrate an exceptionally high degree of language capability that truly engages the end user. They 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. The Use cases include marketing offers, lead gen, product discovery, product recommendations, shopping advice, troubleshooting, customer support, and so on.
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