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Title: Revolutionizing Customer Support: GPT-trainer Introduces the First LLM-Native AI Chatbot Builder

BOSTON, Massachusetts, United States, 26th Apr 2024, King NewsWire - GPT-Trainer, a leader in conversational AI technology, has launched a novel LLM-native (Large Language Model) multi-Agent framework, marking a significant advancement in the realm of AI chatbot development. The platform, designed to work well with both highly technical and no-code users, will enhance the efficiency of business operations and improve automatic resolution of customer service interactions. With out-of-the-box features such as ChatGPT-like AI trained on own data, lead collection, conversation monitoring and tagging, frustration detection, meeting scheduling, human support escalation, and workspace sharing controls, GPT-trainer can be customized to reliably support a wide range of customer service use cases. When properly connected to own database, it can even handle automatic order placement, status tracking, and returns.Mr. Hunter Zhao, CEO of GPT-Trainer, commented on the release, "Our platform delivers a unique innovation in conversational AI technology. Our vision is to establish a new process for chatbot development, making chatbots much more powerful, versatile, and less tedious to build compared to conventional workflow-centric frameworks like botpress and voiceflow."As the first of its kind, GPT-Trainer allows the creation of multi-agent chatbots capable of executing function calls via external APIs. This enables the chatbot to connect with external data sources and tools, on-demand, in response to incoming user queries. GPT-trainer also supports built-in retrieval-augmented generation (RAG) capabilities trained from diverse document types like PDFs, Word, Excel, and various scraped website content. When working on complex chatbot projects, GPT-Trainer can connect with knowled...

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