Welcome to Prompt AI
We present PromptDialog, an LLMs-native integrated development (IDE) and operation environment (DevOps) to enable rapid development and delivery of AI assistants, aka, chatbots.
PromptDialog supports LLMs including ChatGPT and GPT4, together with a design/testing/deployment environment (an alternative of Rasa-X, Rasa-Pro, and Rasa Studio). With PromptDialog, we aim to bring you an AI experience with the latest LLMs technology and significant reduction (90%) of development cost. PromptDialog is an LLMs-native AI assistant development environment, meaning it builds everything on LLMs including dialog flow, knowledge base, and dialog state management. Using this architecture, your assistant’s performance will improve with the latest advancements in LLMs (both proprietary and open source). And the most important, it is free! Here are a few highlights:
- Automatically turn enterprise documents of various forms (FAQ, CSV, PDF, Doc, Text, HTML) into one knowledge base that your assistant can rely on, powered by GPT.
- Intuitive business logic design. The dialog flows can be described in text or drawn explicitly, not as vague as annotated conversations or python programs anymore. It can be displayed and shared with your team members.
- All-in-one DevOps: Design, develop and operate conversations, on premises or cloud, in one platform.
- Zero shot intent classification and entity recognition, less or even no annotation required.
Xifeng Yan, PromptAI
Prof. Xifeng Yan has a track record of building knowledge grounded conversational AI engines. His teams have participated in building various kinds of conversational bots including three Amazon Alexa Chatbot Challenges in 2022-2023, TaskBot, SimBot, and Socialbot. All of his teams entered the final event with the highest rate given by Amazon Alexa users.