WHAT IS THIS BYTE?

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 course will teach you from scratch!

In this course 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.

This Byte requires about 4 hours to complete.

WHY IS THIS BYTE AWESOME?

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?

Required:
- 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.

- Basic knowledge of the OpenAI API is not mandatory but recommended. Take our "OpenAI API: GPT, DALL-E & Whisper with Python" course now!

WHAT TOOLS WILL BE USED?

Python, OpenAI, LangChain, Vector Embeddings, Pinecone, Chroma.