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You're reading from The Complete LangChain & LLMs Guide Master AI: Python & LangChain Projects with OpenAI LLMs

Product type Video

Published in Feb 2024

Publisher

ISBN-13 9781835885925

Length 8hrs 43mins

Edition 1st Edition

Languages

Python

Tools

Streamlit

Concepts

Programming Language

Author (1):

Paulo Dichone

View More author details

Table of Contents (14) Chapters

1. Introduction

Welcome
Introduction & Course Pre-requisites
What You'll Build in this Course - Demo
Connect with Me

2. Development Environment Setup FREE CHAPTER

Setup OpenAI API - API Key
Install Python - Full Instructions
Setup VS Code and Python Extensions

3. LangChain and LLMs - Deep Dive

What's an LLM
LangChain Deep Dive - How it Works and Benefits
Setup Python Environment VS Code
LangChain Building Blocks - Components - Chains - Agents
LangChain Language Model Types Part 1
LangChain Language Model Types Part 2

4. LangChain Prompts Template

LangChain Prompt Template - Introduction and Motivation
Prompt Templates - Hands-on

5. LangChain Parsers

Parsers - Introduction
Output Parsers - Hands-on
Pydantic Output Parser - Introduction
Pydantic Parser
LangChain Building Blocks Summary

6. LangChain Memory and Chains

LangChain Memory - Introduction
Memory Hands-On - ConversationBufferMemory
LangChain Chains - Introduction
LLMChain Hands-on
LLMChain Input Variables - Hands-on
Sequential Chain Hands-on
Streamlit Application - Lullaby Generator - Demo
Lullaby Application with Streamlit - Hands-on

7. LangChain Routers, Document Loading and Document Splitting

Router Chains - Introduction and Hands-on - Part 1
Router Chains - Hands-on - Part 2
LangChain Document Loading - Loading a PDF File
Document Splitting - An Overview
CharacterTextSplitter - Hands-on
RecursiveCharacterTextSplitter - Hands-on

8. LangChain Embeddings and Vectorstores

Vectorstore & Embeddings - Full Overview
Embeddings and Semantic Similarity Test - Hands-on
Saving Embeddings to Chroma DB & Similarity Search
LangChain Retrievers

9. LangChain Agents - Deep Dive

Agents - Introduction
Agents - Motivation & Creating a Tool for an Agent
Built-in Math Tool & Testing an Agent
Adding a General Knowledge Tool for Our Agent
Agents Types
Looking Into the Agents Prompt Template
Conversational Agent and Memory - Hands-on
LangChain Docstore Agent
Self-Ask-with-Search Agent
What We've Learned So far- Recap

10. [REAL-WORLD] App - PDF Extractor

Bill Extractor - Project Introduction and Functions Setup
Front-end Setup and Testing

11. [REAL-WORLD] App - Newsletter Generator

Newsletter Generator Demo
Setup the Search Function with Serper API Key and Testing
Picking the Best Articles Function and Testing
Article Summary
Fixing a Python Libmagic Bug
Generating the Newsletter
Creating the Frontend with Streamlit - Final Result

12. [REAL-WORLD] App - Multi-document Chatbot

Document Chatbot - Resumé Analyzer Bot
Document Chatbot with LangChain QAChain
Multi-Document Chatbot with Streamlit - Full Chatbot

13. [REAL-WORLD] App - Image to Text

Image to Recipe App - Demo
Setup HuggingFace Token & Generating Text from an Image
Text to Speech
Generating Recipes from Image - Image Captioning
Adding a Frontend with Streamlit - Text to Recipe Application - Final Result

14. Next Steps

Next Steps

You're reading from The Complete LangChain & LLMs Guide Master AI: Python & LangChain Projects with OpenAI LLMs

Table of Contents (14) Chapters

Authors (1)

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