Explore the fundamentals of building applications with Large Language Models (LLMs) and LangChain in this 20-minute tutorial video. Learn about LLMs and Prompt Templates, including their inability to store state and the importance of prompts in application development. Discover the concept of few-shot prompting and how to implement Prompt Templates in code. Follow along with practical demonstrations on setting up an LLM, creating PromptTemplates, and constructing an LLM Chain. Gain hands-on experience using a provided Colab Code Notebook to reinforce your understanding of these essential concepts in LangChain development.
Overview
Syllabus
Intro
LLMs as Apps
LLMs Don’t Store State
What is LangChain?
Everything Starts with a Prompt
Few Shot Prompting
Prompt Templates
Code Time
Setting up an LLM
PromptTemplates code
Making a LLM Chain
Few Shot Prompt Template
Taught by
Sam Witteveen
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Reviews
4.7 rating, based on 3 Class Central reviews
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Chris BuckleyI found the course to be quite clear in the terms being used and easy enough to follow (being a complete newbie). I like how you are not presented with an overwhelming amount of information at a time, and the fact you are able to pause at any point, and resume, is a big bonus. -
Abijith EtThe LangChain Beginner Tutorial is a great resource for anyone who wants to learn how to use LangChain to build large language models (LLMs). The tutorial is well-written and easy to follow, and it covers all of the essential topics, including: Wha… -
Miguel MoutinhoVery well explained and documented. I recommend this class to everyone that is trying to understand how ChatGPT and other LLMs work and how easy this is getting for users to work with. Thank you very much.
