Download Udemy – Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2 2023-8

December 28, 2023 admin visual learning 0
Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

Description

Learn LangChain Course: Build #22 LLM Apps using OpenAI & Llama 2. Learn to build LLM based applications with LangChain. Create powerful web-based front-ends for your LLM program using Streamlit. By the end of this course, you will have a thorough understanding of the basics of LangChain OpenAI, Llama 2 and HuggingFace. You can also create modern frontends using Streamlit in Python. In hands-on projects that shape your expertise, including:

  1. Project 1: Creating a simple chatbot with Llama 2 and LangChain
    Project 2: PDF chat application (GUI) | ChatGPT for your PDF file – Streamlit app to chat with your PDF file using LangChain and OpenAI.
  2. Project 3: YouTube Scripting App – Easily create titles and scripts for YouTube video using LangChain and OpenAI
  3. Project 4: MCQ Quiz Creator App – Create multiple choice quizzes for your students seamlessly using LangChain and OpenAI/Hugging Face
  4. Project 5: Chat with multiple PDF documents | Streamlit App – Chat with your PDF files using LangChain and OpenAI.
  5. Project 6: Chatbot support for your website – Help your visitors/customers find relevant data or blog links that can be useful to them.
  6. Project 7: YouTube Video Summarizer – YouTube Video Summarizer, by dynamic duo LangChain and OpenAI! In this groundbreaking tool, we’ve used the advanced capabilities of language processing technology to change the way you consume YouTube content.
  7. Project 8: PDF summarization using LangChain, OpenAI and Gradio: Summarizing PDF files using Lang Chain and OpenAI and creating a shareable web interface using Gradio
  8. Project 9: PrivateGPT – Chat with your files offline and for free
  9. Project 10: Ask a Book with (LangChain + Llama 2 + Pinecone): Create a chatbot to chat with books or with PDF files. Using LangChain, Llama 2 Model and Pinecone as vector storage.
  10. Project 11: Multi-Document Chat with Llama 2/ OpenAI and ChromaDB: Created a chatbot to chat with multiple documents including pdf, .docs, .txt using LangChain, Llama 2/ OpenAI and ChromaDB as our vector database do.
  11. Project 12: Create a custom chatbot for any website with LangChain and Llama 2/OpenAI: Create a chatbot for yourself or for any website using LangChain, Llama 2/OpenAI and FAISS as vector store/vector database
  12. Project 13: Creating a Flask API for automatic content summarization using LangChain and Llama 2 / Open AI
  13. Project 14: Introducing “GPT-LLM-Trainer” – the easiest way in the world to train a specific work model. Just enter your idea and let AI do the rest.
  14. Project 15: Creating a medical chatbot with Llama2, Pinecone and LangChain
  15. Project 16: Set Llama 2 model with LangChain on custom dataset
  16. Project 17: ChatCSV application – chat with CSV files using LangChain and Llama 2
  17. Project 18: Chat with multiple PDF files using Llama 2, Pinecone and LangChain
  18. Project 19: Run Llama code on the CPU and create a web application with Gradio
  19. Project 20: Source code analysis with LangChain, OpenAI and ChromaDB
  20. Project 21: Chat with multiple PDF files using PalM 2, Pinecone and LangChain
  21. Project 22: Streamlit program | Chat with multiple PDF files using PalM 2, FAISS and LangChain
  22. Project 23: Chat with your documents using Llama-Index and Google Palm 2

Course Content: In this course, we will explore the capabilities of LangChain to build scalable and efficient AI applications. You will gain in-depth knowledge of LangChain components, including the LLM wrappers, express pattern, chains, agents, memory, and document loaders. Additionally, we will cover embeddings and vector databases

What you will learn in the course Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

  • Mastering the basics of LangChain and the basics of Large Language Models (LLM)

  • How to use LangChain, OpenAI, Llama 2, Hagging Face to build applications equipped with LLM.

  • Learn about LangChain components, including LLM wrappers, request patterns, chains, agents, memory, and document loaders.

  • Learn to use LLM techniques in personal documents and projects

  • Learn how to use embeddings and data storage.

  • Learn about FAISS and Similarity Search.

  • Learn about Pinecone and ChromaDB

  • Project: Create a simple chatbot with Llama 2 and LangChain

  • Project: Quiz MCQ Creator Application

  • Project: YouTube scripting program

  • Project: PDF Chat Application (GUI) | ChatGPT for your PDF file

  • Project: Chat with multiple PDF documents | Streamlit app

  • Project: Summarize PDF using LangChain, OpenAI and Gradio

  • Project: YouTube Video Summarizer

  • Project: PrivateGPT – Chat with your files offline and for free

  • Project: Chatbot support for your website

  • Project: Asking a book with (LangChain + Llama 2 + Pinecone)

  • Project: Create a chatbot using Llama 2, LangChain/OpenAI and ChromaDB to chat with multiple documents including pdf, .docs, .txt.

  • Project: Creating a custom chatbot for any website with LangChain and Llama 2 / OpenAI

  • Project: Creating a Flask API for automatic content summarization using LangChain and Llama 2/ Open AI

  • Fine-tuning the Llama 2 model with LangChain on a custom dataset

  • Introducing “GPT-LLM-Trainer” – the world’s easiest way to train a specific work model. Just enter your idea and let AI do the rest.

  • Project: Creating a medical chatbot with Llama2, Pinecone and LangChain

  • Project: ChatCSV App – Chat with CSV files using LangChain and Llama 2

  • Project: Chat with multiple PDF files using Llama 2, Pinecone and LangChain

  • Project: Source code analysis with LangChain, OpenAI and ChromaDB

  • Project: Run Code Llama on a CPU and create a web application with Gradio

  • Run PalM 2 on Google Colab | How to use the free Google Palm API

  • Project: Chat with multiple PDF files using PalM 2, Pinecone and LangChain

  • Project: Streamlit program Chat with multiple PDF files using PalM 2, FAISS and LangChain

  • Project: Chat with your documents using Llama-Index and Google Palm 2

This course is suitable for people who

  • Anyone interested in building AI powered LLM programs using Langchain
  • Passionate about artificial intelligence

Course details Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

  • Publisher: Udemy
  • teacher: Muhammad Moin
  • Training level: beginner to advanced
  • Training duration: 13 hours and 59 minutes
  • Number of courses: 44

Course topics Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2 on 12/2023

Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2 Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

Learn LangChain course prerequisites: Build #22 LLM Apps using OpenAI & Llama 2

  • Basic programming experience with Python!
  • Curiosity to learn AI field

Course images

Learn LangChain: Build #22 LLM Apps using OpenAI & Llama 2

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 1 GB

Download part 5 – 1 GB

Download part 6 – 725 MB

File(s) password: www.downloadly.ir

Size

5.7 GB

Be the first to comment

Leave a Reply

Your email address will not be published.


*