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LangChain and OpenAI Tutorial - Building a Q&A System with Custom Text Data

Offered By: Samuel Chan via YouTube

Tags

LangChain Courses GPT-4 Courses LLaMA (Large Language Model Meta AI) Courses Text Embedding Courses OpenAI Courses

Course Description

Overview

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Explore the process of building a question and answer system using LangChain and OpenAI in this 20-minute tutorial video. Learn how to leverage LangChain's capabilities to unify and standardize the developer experience with large language models (LLMs) like GPT-4, Alpaca, and Llama. Discover techniques for incorporating text embeddings, vector stores, and databases such as Chroma, and chaining them for downstream applications through agents. Follow along as the instructor demonstrates how to train a Q&A agent using custom text data. Gain insights into LLMs, embeddings, and practical applications of AI systems. Access additional resources, including related tutorials in the LangChain/LLM series, code examples on GitHub, and links to relevant documentation and visualization tools.

Syllabus

LangChain + OpenAI tutorial: Building a Q&A system w/ own text data


Taught by

Samuel Chan

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