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LLaMAChat is an advanced conversational AI chatbot built using Meta’s LLaMA (Large Language Model Meta AI). This project aims to leverage the powerful language understanding capabilities of LLaMA to create an intelligent, responsive, and versatile chatbot that can engage in natural, meaningful conversations with users.
This repository showcases my accomplishments throughout the AI-ML internship program with IBM, providing a central location for all completed daily tasks, their related code, and full explanations.
This repository showcases my accomplishments throughout the AI-ML internship program with IBM, providing a central location for all completed daily tasks, their related code, and full explanations.
Develop a basic chatbot using predefined rules, if-else statements, or pattern matching techniques. Explore natural language processing concepts and conversation flow within the chatbot's functionality.
This project is a chatbot designed to answer questions related to MVLU College. The chatbot is built using AIML (Artificial Intelligence Markup Language) and is integrated into a Django web application.