[ZerotoMastery] Build an LLM-powered Q&A App using LangChain, OpenAI and Python
This portfolio project involves building a state-of-the-art LLM-powered Q&A application using LangChain, Pinecone, and OpenAI, all with only basic Python knowledge required! Here’s your opportunity to jump into the world of AI and LLMs
WHAT IS THIS PROJECT?
LLMs like GPT are great at answering questions about data they’ve been trained on…but what if you want to ask it questions about data it hasn’t been trained on? For example, maybe you want to ask them about information from after their training cut-off date, or information from non-public documents? One of the best ways to do this is inputting the information, even large amounts of information such books and documents, into the model. And that’s exactly what this project will teach you from scratch!
In this project you’ll learn how to build state-of-the-art LLM-powered applications with LangChain, Pinecone, OpenAI, and Python! We’ll build together, step-by-step, line-by-line. This will be a learning-by-doing experience.
WHY IS THIS PROJECT AWESOME?
This is a portfolio project. It requires about 3 hours to both learn LangChain and build the Q&A application.
LangChain is an open-source framework that allows developers working with AI to combine large language models (LLMs) like GPT-4 with external sources of computation and data. It makes it easy to build and deploy AI applications that are both scalable and performant. LangChain is a great entry point into the AI field for individuals from diverse backgrounds and enables the deployment of AI as a service. It has a virtually infinite number of practical use cases.
WHAT DO I NEED TO KNOW BEFORE STARTING?
– Basic knowledge of Python. Don’t have that yet? Take our Python course now!
– An OpenAI API key. A valid phone number is required to open an OpenAI account.
WHAT TOOLS WILL BE USED?
Python, OpenAI, LangChain, Vector Embeddings, Pinecone.
Size: 456.7 MB