Master Generative Ai: Langchain & Hugging Face 4 Projects

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Master Generative Ai: Langchain & Hugging Face - 4 Projects
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 376.29 MB | Duration: 1h 27m

Unlock the Potential of Generative AI by Creating Practical Projects Using LangChain and Hugging Face Models

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.

Requirements

Understanding of Python programming

A passion for building real-world AI applications

Description

Are you ready to revolutionize your understanding of Generative AI? Look no further. This course offers a comprehensive, hands-on experience to help you master LangChain and Hugging Face, two of the most powerful tools in the AI landscape. With a focus on building real-world applications, you'll gain the skills and confidence to craft AI-driven solutions that stand out in today's competitive tech world.Why Choose This Course?Generative AI is no longer just a buzzword-it's a game-changing technology shaping industries from marketing to healthcare. Our course provides an unparalleled opportunity to learn how to harness this power effectively.Here's what sets this course apartroject-Based Learning: Dive deep into four innovative projects, from text summarizers to text-to-video animations.Hands-On Expertise: Master tools like LangChain and Hugging Face by applying them directly 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 BuildThis course is structured around four key projects designed to teach you the practical applications of generative AI:Text Summarizer with GUIIntegrate 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 GeneratorTransform text inputs into visually stunning images using Hugging Face models.Understand model architecture and integrate it into LangChain workflows.Text-to-Video AnimatorCreate motion-rich video animations from text prompts.Set up and configure motion adapters with Hugging Face models.Implement pipelines for generating captivating video content.

Overview

Section 1: Introduction and Course Overview

Lecture 1 Introduction, Goal and Projects

Section 2: Setting Up Your Development Environment

Lecture 2 Access Anaconda Environment

Lecture 3 Install Anaconda Windows

Section 3: LangChain and Hugging Face Configuration

Lecture 4 Install LangChain in Windows

Lecture 5 Introduction to HuggingFace Models

Lecture 6 Create Access Key of HuggingFace

Section 4: Project 1: Text Summarizer App with GUI (Combined LangChain and Hugging Face)

Lecture 7 Text Summarizer App Project Introduction

Lecture 8 Langchain Component and HuggingFace Model

Lecture 9 Start implementation By Importing Libraries

Lecture 10 Initialize The HuggingFace BART Model

Lecture 11 Declare BART Pipeline Kwargs

Lecture 12 Create Prompt Template Langchain

Lecture 13 Intialize Prompt Template (LangChain Component)

Lecture 14 Format Prompt Template and Create Summary Function

Lecture 15 Test the Model with Sample Text

Lecture 16 Implement PDF Function to Load Text From PDF to Text Summarizer GUI

Lecture 17 Text Summarizer GUI App

Section 5: Project 2: Interactive Assistant Using LangChain and Hugging Face

Lecture 18 Project 2: Interactive Assistant Using Langchain and Huggin Face

Lecture 19 Code Structure

Lecture 20 Main file of project

Lecture 21 Query Handler to Interact With App

Lecture 22 Summary Handler

Lecture 23 Assistant Implementation Part 1

Lecture 24 Assistant implementation Part 2

Lecture 25 Create GUI for Assistant App

Lecture 26 Testing Langchain Assistant App

Section 6: Project 3: Text-to-Image Generator

Lecture 27 Project 3 Text to Image Generate Images From Prompts

Lecture 28 Code to Generate Images From Prompts

Lecture 29 Setup Resolution of Image and Generate

Section 7: Project 4: Text-to-Video Animation Generator

Lecture 30 Project 4 Text to video Animation UsingHuggingface

Lecture 31 Import Required Libraries andTest the Installation

Lecture 32 Setup Computation Device, Step Size, and Repo

Lecture 33 Find Checkpoint File of Model

Lecture 34 Base Model Selection

Lecture 35 Implement Motion Adapater For Motion Generation

Lecture 36 Integrate Base Model and Motion Adapter

Lecture 37 Setup Prompt and Vonfigure Pipeline

Lecture 38 Create a Video Using Our Code

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

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