Projects with this topic
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可自行input 客製化內容的pdf檔案,並針對文檔內容作為回答的聊天機器人。 Creating a chatbot that provides specific responses based on certain content.
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UniGPT-Assist is a succinct, user-friendly solution that addresses the tangible problem of efficiently navigating through university life, providing a reliable and instant information source for students.
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Motivation Letters Expert system with LLM to enhance the given motivation letters.
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LLM Chatbot prototype with LangChain. Created with a given brief besides documentation for it's API.
Simply, it responds back to the input provided by users.
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The EUC RAG Agent is a Retrieval-Augmented Generation (RAG) system built to deliver accurate and relevant responses for the fictional Egyptian University in Cairo (EUC). It uses all-MiniLM-L6-v2, gemini embedding-001, or TF-IDF vectorization for precise information retrieval and employs gemini-1.5-flash, gemini-1.5-pro, or llama2:7b models for generating concise, professional answers. The agent efficiently addresses a variety of university-related inquiries.
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Automated Software Developer - Cyberdev - that can work on issues in the selected repository.
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An example AI chatbot backend project made with TypeScript, LangChain and Express.
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Python Document Analyzer which takes in random PDF documents and retrieve fundamental information, using langchain, BAAI's bge-m3 model, llama3.1 and OCR.
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A project documentator, open source and completely free to use, take into account that it currently only supports python and yaml files only, it is suitable when you work with people who don't document their codebase
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This project delivers an AI-powered chatbot with versatile capabilities, including document-based question answering and summarization, image captioning, and audio interaction.
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