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The Complete LangChain & LLMs Guide
The Complete LangChain & LLMs Guide

The Complete LangChain & LLMs Guide: Master AI: Python & LangChain Projects with OpenAI LLMs

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Profile Icon Paulo Dichone
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$109.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
Video Feb 2024 8hrs 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Paulo Dichone
Arrow right icon
$109.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (3 Ratings)
Video Feb 2024 8hrs 43mins 1st Edition
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$109.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • Step-by-step guides to setting up development environments and building AI tools
  • Real-world applications demonstrating the practical use of LangChain in various domains
  • Focus on ethical considerations and copyright implications in the AI landscape

Description

This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment.

Who is this book for?

This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. AI enthusiasts, tech innovators, and programmers will deepen their understanding of LangChain, unlocking new opportunities in AI-driven development and pioneering next-gen solutions. While specific knowledge of Python is not necessary, familiarity with programming concepts is essential.

What you will learn

  • Configure OpenAI API and Python for AI development
  • Create and manipulate LangChain prompt templates and parsers
  • Implement LangChain memory models and chains for complex AI applications
  • Develop real-world applications, including newsletter generators and chatbots
  • Work with LangChain embeddings and vector stores for semantic searches
  • Navigate the ethical and copyright implications of AI-generated content

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 23, 2024
Length: 8hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781835885925
Category :
Languages :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Feb 23, 2024
Length: 8hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781835885925
Category :
Languages :
Tools :

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Frequently bought together


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Total $ 204.97
The Complete LangChain & LLMs Guide
$109.99
Building Data-Driven Applications with LlamaIndex
$44.99
Building LLM Powered  Applications
$49.99
Total $ 204.97 Stars icon

Table of Contents

14 Chapters
Introduction Chevron down icon Chevron up icon
Development Environment Setup Chevron down icon Chevron up icon
LangChain and LLMs - Deep Dive Chevron down icon Chevron up icon
LangChain Prompts Template Chevron down icon Chevron up icon
LangChain Parsers Chevron down icon Chevron up icon
LangChain Memory and Chains Chevron down icon Chevron up icon
LangChain Routers, Document Loading and Document Splitting Chevron down icon Chevron up icon
LangChain Embeddings and Vectorstores Chevron down icon Chevron up icon
LangChain Agents - Deep Dive Chevron down icon Chevron up icon
[REAL-WORLD] App - PDF Extractor Chevron down icon Chevron up icon
[REAL-WORLD] App - Newsletter Generator Chevron down icon Chevron up icon
[REAL-WORLD] App - Multi-document Chatbot Chevron down icon Chevron up icon
[REAL-WORLD] App - Image to Text Chevron down icon Chevron up icon
Next Steps Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(3 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
Emerson Mar 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Amazing content! The lessons are very updated with the new LLM APIs available and really helped me to use the Langchain library!
Subscriber review Packt
Kris Jun 10, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Absolutely smashing LangChain course! As a beginner, I found the concepts brilliantly explained and easy to grasp. I’m chuffed to bits with it. If one is looking to understand LangChain, this course is the bee’s knees!
Subscriber review Packt
Juan Fernando Apr 03, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This seems already outdated since the current version of langchain uses from langchain_openai import ChatOpenAI and llm_model = "gpt-3.5-turbo" chat = ChatOpenAI(model=llm_model)
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