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Data Science Internship Prep
·
Module 10
Portfolio Project: AI Tutor Chatbot with RAG
1
Building a RAG Pipeline for Question Answering
Design and implement a RAG pipeline that retrieves context from the vector database to answer a user's query.
2
LLM as Your Tutor: Prompt Engineering Essentials
Apply prompt engineering techniques to instruct a Large Language Model (LLM) to act as a tutor.
3
Crafting Explanations: Step-by-Step with Context
Develop prompts that guide the LLM to provide step-by-step explanations using the retrieved context.
4
Building a Chatbot Interface with Streamlit
Build an interactive web interface for the chatbot using Streamlit.
5
Building a RAG App with Streamlit
Integrate the RAG pipeline with the Streamlit front-end to create a functional application.
6
Deploying Your Chatbot with Containers
Containerize and deploy the final chatbot application.
7
Crafting a Comprehensive Project README
Document the project architecture and functionality in a detailed README.
8
Deploying Your AI Tutor: A GitHub Capstone
Publish the AI Tutor project to GitHub as a capstone portfolio piece.
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