Create a Personalized AI Chatbot That Talks to Your Data
Design and build a smart AI chatbot that can interact with your private data, using advanced retrieval-augmented generation techniques.
Denis Lusson
Open Avenues Foundation
Tuesdays, 6:00 P.M. ET / 3:00 P.M. PT
8 weeks, 2-3 hours per weekDescription
In the tech industry, AI-driven solutions are becoming increasingly essential, with chatbots playing a crucial role in automating customer support, data retrieval, and personalized assistance across various sectors. In this Build Project, you will design and build an intelligent local AI chatbot that can understand and interact with your personal data using cutting-edge Retrieval-Augmented Generation (RAG) techniques. You will learn how to preprocess and index private data, integrate advanced Natural Language Processing (NLP) models, and work with industry-standard tools. Through hands-on experience, you will gain the skills needed to create scalable, efficient AI systems that solve real-world challenges. By mastering these skills, you’ll be well-equipped for in-demand entry-level roles such as AI Developer, Data Analyst, or NLP Engineer, positioning you to thrive in today’s rapidly evolving tech industry.
Application timeline
What you will learn
- Design and implement Retrieval-Augmented Generation (RAG) architectures, combining state-of-the-art retrieval techniques with generative AI models to generate contextually relevant and accurate responses.
- Utilize cutting-edge tools such as LangChain, OpenAI’s GPT, and vector databases to build advanced conversational AI systems that interact seamlessly with your data.
- Master techniques for processing and querying large datasets, including algorithms for splitting, indexing, and retrieving information from large documents or extensive knowledge repositories to optimize chatbot performances.
Project workshops
Prerequisites
- Intermediate Python programming skills, including writing functions, classes, class attributes, for loops, if statements, and break statements.
- Foundational knowledge of NumPy, including array shapes, reshaping, slicing, indexing, vectorized operations, and basic matrix operations.
- Understanding of basic mathematical concepts such as vector representations and how embeddings function in a vector space.
Apply Now!
Ready to start this exciting project? Submit your application today and begin your journey with Build!
About the Fellow
Denis Lusson
Open Avenues FoundationDenis Lusson is a Data Science Build Fellow at Open Avenues, where he works with students leading projects in Data Science. Denis is a Data Science Engineer at Corvic AI, where he focuses on implementing state-of-the-art machine learning models, developing advanced data pipelines, and optimizing algorithms to drive cutting-edge, data-driven decision-making. Denis has over 3 years of experience in the Data Science field, specializing in dynamic startup environments where innovation and adaptability are key. He holds a Master's degree in Data Science and Artificial Intelligence. A fun fact about Denis is that he enjoys watching F1 and loves playing volleyball.