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This project features an AI-powered Telegram bot designed to serve as a university consultant.

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AI University Consultant Bot

Python Dependencies language

Overview

The AI University Consultant Bot is a Telegram bot designed to assist users with inquiries related to university structure, history, and contact information. Utilizing the GigaChat language model for natural language processing and Retrieval-Augmented Generation (RAG) to provide factual responses, this bot offers accurate and relevant information to students and prospective applicants.

Model Architecture

GigaChat

GigaChat is a large language model developed by Sberbank, based on the ruGPT-3.5 architecture. It is trained on extensive datasets to understand and generate human-like text. GigaChat excels in natural language understanding, allowing it to comprehend user queries effectively and generate contextually appropriate responses.

Retrieval-Augmented Generation (RAG)

RAG combines traditional retrieval methods with generative models. In this project, RAG is used to fetch factual information about universities from a structured knowledge base. This approach enhances the responses generated by GigaChat, ensuring that users receive accurate and detailed information regarding university-related queries.

Features

  • Natural Language Understanding: The bot can interpret user inquiries in natural language, providing intuitive interactions.
  • Factual Responses: By leveraging RAG, the bot retrieves accurate information about university structures, history, and contacts.
  • User-Friendly Interface: Integrated with Telegram for easy access and interaction.

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This project features an AI-powered Telegram bot designed to serve as a university consultant.

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