Generative AI: Practical LLM, LangChain, Hugging Face

Name: Generative AI: Practical LLM, LangChain, Hugging Face
Rating: 4.2 (11 reviews)

Master Generative AI with LangChain and Hugging Face: Hands-On Projects and Real-World Applications with LLM

Created byAli Sardar

Last updated 1/2025

English

What you'll learn

Understand LangChain's role in building AI-powered applications, including its core components like prompt templates and chains
Learn to integrate of the Hugging Face models for text, image, and video generation
Master the art of creating effective prompts and pipelines for diverse AI tasks
Build intuitive interfaces to enhance user interaction with AI applications
Setting up Anaconda and LangChain for efficient development.

Course content

7 sections • 39 lectures • 1h 27m total length

Introduction, Goal and Projects3:03

Text Summarizer App Project Introduction2:57
Langchain Component and HuggingFace Model2:38
Start implementation By Importing Libraries2:34
Initialize The HuggingFace BART Model4:05
Initialize a Hugging Face BART model to power a text summarizer class, load the model by ID, and run a summarization task using a configurable pipeline.
Declare BART Pipeline Kwargs2:52
Learn to declare BART pipeline kwargs by setting max and min summary length, understand do_sample for greedy decoding versus sampling, and prepare a Hugging Face summarizer with a prompt template.
Create Prompt Template Langchain1:14
Intialize Prompt Template (LangChain Component)1:35
Format Prompt Template and Create Summary Function2:24
Define a summarize text function that formats the prompt with the article text, uses the hugging face model pipeline to generate and store the summary, and test the function.
Test the Model with Sample Text1:50
Implement PDF Function to Load Text From PDF to Text Summarizer GUI2:02
Develop a pdf text loading function for the text summarizer gui that opens a pdf, iterates pages, extracts and accumulates content, and returns the text for summarization.
Text Summarizer GUI App4:02

Project 2: Interactive Assistant Using Langchain and Huggin Face1:36
Build an interactive assistant app using LangChain and Hugging Face, connect via the Hugging Face API key, summarize text, answer questions, and chain prompt templates for tasks.
Code Structure1:17
Main file of project1:07
Explain how the main function wires libraries to create a gui, initialize the assistant app with a route window, and run the main loop with query and summariser handlers.
Query Handler to Interact With App1:58
Summary Handler0:59
Assistant Implementation Part 11:57
Assistant implementation Part 21:33
Create GUI for Assistant App1:51
Create a gui for an assistant app by configuring window geometry, title, and colors, with input fields, buttons, and a summary and query workflow, plus api key handling.
Testing Langchain Assistant App3:14

Project 4 Text to video Animation UsingHuggingface0:41
Import Required Libraries andTest the Installation4:29
Setup Computation Device, Step Size, and Repo2:27
Find Checkpoint File of Model0:58
Define the checkpoint and generate its file name according to the step size by inspecting the model's files and versions, then implement dynamic naming in code.
Base Model Selection1:03
Implement Motion Adapater For Motion Generation1:45
Integrate Base Model and Motion Adapter3:34
Setup Prompt and Vonfigure Pipeline2:00
Create a Video Using Our Code1:08
Run the code to generate a gif output, adjust the guidance scale to control text-to-image strength, and observe a finished video output that improves with hardware or cloud resources.
Source Code

Requirements

Understanding of Python programming
A passion for building real-world AI applications

Description

Master Generative AI with LangChain and Hugging Face

Unlock the potential of generative AI and LLMs (Large Language Models) with our hands-on course. Dive deep into LangChain and Hugging Face, two of the most powerful tools in the AI space, and learn prompt engineering through practical examples. This course is designed to provide you with the skills to implement gen AI models effectively.

Why Choose This Course?

Generative AI is transforming industries from marketing to healthcare. Our course offers a unique opportunity to harness this technology effectively.

Project-Based Learning: Engage in innovative projects, from text summarizers to text-to-video animations.
Hands-On Expertise: Master LangChain and Hugging Face by applying them to real-world scenarios.
Up-to-Date Knowledge: Work with the latest models and frameworks, staying ahead in the rapidly evolving AI landscape.

What You’ll Build

This course is structured around four key projects designed to teach you the practical applications of generative AI:

Text Summarizer with GUI
- Integrate LangChain components with Hugging Face's BART model.
- Load and summarize text from PDF documents.
- Design an intuitive graphical user interface (GUI) for a seamless user experience.
Interactive AI Assistant with GUI
- Develop a multi-functional assistant to handle summaries, queries, and more.
- Implement LangChain's query and summary handlers for efficiency.
- Create a user-friendly GUI and test the assistant's capabilities.
Text-to-Image Generator
- Transform text inputs into visually stunning images using Hugging Face models.
- Understand model architecture and integrate it into LangChain workflows.
Text-to-Video Animator
- Create motion-rich video animations from text prompts.
- Set up and configure motion adapters with Hugging Face models.
- Implement pipelines for generating captivating video content.

Join us to master generative AI and build cutting-edge applications that can transform industries. Enroll now and start your journey to becoming a generative AI expert!

Who this course is for:

AI enthusiasts and developers eager to learn LangChain and Hugging Face
Software engineers looking to integrate generative AI into their projects
Professionals interested in building AI-powered solutions for business and personal use.
Students and researchers exploring innovative applications of generative AI

Generative AI: Practical LLM, LangChain, Hugging Face

What you'll learn

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Course content

Introduction and Course Overview1 lecture • 3min

Setting Up Your Development Environment2 lectures • 3min

LangChain and Hugging Face Configuration3 lectures • 9min

Project 1: Text Summarizer App with GUI (Combined LangChain and Hugging Face)11 lectures • 28min

Project 2: Interactive Assistant Using LangChain and Hugging Face9 lectures • 16min

Project 3: Text-to-Image Generator3 lectures • 10min

Project 4: Text-to-Video Animation Generator10 lectures • 18min

Requirements

Description

Who this course is for: