Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform
- URL: http://arxiv.org/abs/2410.00006v1
- Date: Fri, 13 Sep 2024 07:15:04 GMT
- Title: Low-code from frontend to backend: Connecting conversational user interfaces to backend services via a low-code IoT platform
- Authors: Irene Weber,
- Abstract summary: It proposes an architecture with a conversational language as using an IoT (Internet of Things) platform as a backend service.
It elaborates and demonstrates how to combine a conversational user interface developed on the open source development platform Rasa with the open source platform Node-RED.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Current chatbot development platforms and frameworks facilitate setting up the language and dialog part of chatbots, while connecting it to backend services and business functions requires substantial manual coding effort and programming skills. This paper proposes an approach to overcome this situation. It proposes an architecture with a chatbot as frontend using an IoT (Internet of Things) platform as a middleware for connections to backend services. Specifically, it elaborates and demonstrates how to combine a chatbot developed on the open source development platform Rasa with the open source platform Node-RED, allowing low-code or no-code development of a transactional conversational user interface from frontend to backend.
Related papers
- ChatLogo: A Large Language Model-Driven Hybrid Natural-Programming
Language Interface for Agent-based Modeling and Programming [5.648811213672019]
ChatLogo is a hybrid natural-programming language interface for agent-based modeling and programming.
ChatLogo aims to support conversations with computers in a mix of natural and programming languages.
arXiv Detail & Related papers (2023-08-16T02:21:52Z) - ChatDev: Communicative Agents for Software Development [84.90400377131962]
ChatDev is a chat-powered software development framework in which specialized agents are guided in what to communicate.
These agents actively contribute to the design, coding, and testing phases through unified language-based communication.
arXiv Detail & Related papers (2023-07-16T02:11:34Z) - ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented
Instruction Tuning for Digital Human [76.62897301298699]
ChatPLUG is a Chinese open-domain dialogue system for digital human applications that instruction finetunes on a wide range of dialogue tasks in a unified internet-augmented format.
We show that modelname outperforms state-of-the-art Chinese dialogue systems on both automatic and human evaluation.
We deploy modelname to real-world applications such as Smart Speaker and Instant Message applications with fast inference.
arXiv Detail & Related papers (2023-04-16T18:16:35Z) - FaceChat: An Emotion-Aware Face-to-face Dialogue Framework [58.67608580694849]
FaceChat is a web-based dialogue framework that enables emotionally-sensitive and face-to-face conversations.
System has a wide range of potential applications, including counseling, emotional support, and personalized customer service.
arXiv Detail & Related papers (2023-03-08T20:45:37Z) - Demonstrating CAT: Synthesizing Data-Aware Conversational Agents for
Transactional Databases [67.96827026450562]
We present CAT, which can be used to create conversational agents for transactional databases.
The main idea is that, for a given O database, CAT uses weak supervision to synthesize the required training data.
CAT provides an out-of-the-box integration of the resulting agent with the database.
arXiv Detail & Related papers (2022-03-26T19:46:43Z) - YMIR: A Rapid Data-centric Development Platform for Vision Applications [82.67319997259622]
This paper introduces an open source platform for rapid development of computer vision applications.
The platform puts the efficient data development at the center of the machine learning development process.
arXiv Detail & Related papers (2021-11-19T05:02:55Z) - Automatic Generation of Chatbots for Conversational Web Browsing [4.994942792036863]
We describe the foundations for generating a bot out of a website equipped with simple, bot-specific annotations.
The goal is to enable users to use content and functionality accessible through rendered UIs by "talking to websites" instead of by operating the graphical UI using keyboard and mouse.
arXiv Detail & Related papers (2020-08-19T18:10:28Z) - Plato Dialogue System: A Flexible Conversational AI Research Platform [64.82999992143448]
Plato is a flexible Conversational AI platform written in Python that supports any kind of conversational agent architecture.
Plato has been designed to be easy to understand and debug and is agnostic to the underlying learning frameworks that train each component.
arXiv Detail & Related papers (2020-01-17T18:27:29Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.