Date
Publisher
arXiv
This article introduces Bio-Eng-LMM AI chatbot, a versatile platform designed
to enhance user interaction for educational and research purposes. Leveraging
cutting-edge open-source Large Language Models (LLMs), Bio-Eng-LMM operates as
a sophisticated AI assistant, exploiting the capabilities of traditional models
like ChatGPT. Central to Bio-Eng-LMM is its implementation of Retrieval
Augmented Generation (RAG) through three primary methods: integration of
preprocessed documents, real-time processing of user-uploaded files, and
information retrieval from any specified website. Additionally, the chatbot
incorporates image generation via a Stable Diffusion Model (SDM), image
understanding and response generation through LLAVA, and search functionality
on the internet powered by secure search engine such as DuckDuckGo. To provide
comprehensive support, Bio-Eng-LMM offers text summarization, website content
summarization, and both text and voice interaction. The chatbot maintains
session memory to ensure contextually relevant and coherent responses. This
integrated platform builds upon the strengths of RAG-GPT and Web-Based RAG
Query (WBRQ) where the system fetches relevant information directly from the
web to enhance the LLMs response generation.
Study at a glance
- Question: How can an AI chatbot combine text, voice, web search, and images to support education and research?
- Setting and data: Not stated in the abstract
- Method: Development and description of an AI chatbot platform
Why it matters
Educational and research environments need versatile platforms that enhance user interaction. Providing comprehensive support involves combining language models with document processing, multimodal capabilities, and real-time web information retrieval to enhance response generation.
Key findings
- The Bio-Eng-LMM chatbot retrieves and integrates educational information directly from user-uploaded files, preprocessed documents, and live websites.
- The tool processes both text and voice interactions while generating images, analyzing visual content, and conducting secure web searches.
- The system summarizes texts and website content while tracking conversation history to maintain coherent, context-aware responses.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who age?
Why use AI?
Study design
