Build #2 LLM Apps using OpenAI and Llama 2023-8 22 – Download

Description

Learn Langchain Course: Build LLM Apps using OpenAI and Llama 2 #22. Learn to build LLM-based applications with Langchain. Build powerful web-based front-ends for your LLM program using Streamlit. By the end of this course, you will have an in-depth understanding of the fundamentals of Langchain OpenAI, Llama 2, and Huggingface. You can also build modern frontends using Streamlit in Python. Practical projects that shape your expertise include:

  1. Project 1: Building 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 videos using Langchain and OpenAI
  3. Project 4: MCQ Quiz Creator App — Create multiple-choice quizzes for your students 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 may be useful to them.
  6. Project 7: YouTube Video Summarizer – YouTube Video Summarizer, by the dynamic duo Langchain and OpenAI! In this groundbreaking tool, we’ve harnessed the advanced capabilities of language processing technology to transform the way you consume YouTube content.
  7. Project 8: PDF Summarization using Langchain, OpenAI, and Gradio: Summarizing PDF files using Langchain 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: Asking for a book with (Langchen + Llama 2 + Pinecone): Create a chatbot to chat with books or with PDF files. Using Langchen, Llama 2 models 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 like our vector database.
  11. Project 12: Build a Custom Chatbot for Any Website with Langchen and Llama 2/OpenAI: Build a chatbot for yourself or for any website using Langchen, Llama 2/OpenAI and FAISS as a vector store/vector database.
  12. Project 13: Creating a Flask API for automatic content summarization using Langchain and Llama2/Open AI
  13. Project 14: Introducing “GPT-LLM-Trainer” – the easiest way in the world to train a specific task model. Just enter your idea and let the AI ​​do the rest.
  14. Project 15: Building a Medical Chatbot with Llama2, Pinecone, and Langchain
  15. Project 16: Set up 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 CPU and build 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 Palm2, Pinecone and Langchain
  21. Project 22: Streamlit Program | Chat with Multiple PDF Files using Palm2, 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 for building scalable and efficient AI applications. You will gain in-depth knowledge of Langchain components including the LML wrapper, express template, chains, agents, memory, and document loader. Additionally, we will cover embeddings and vector databases

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

  • Mastering the fundamentals of Langchain and the fundamentals of Large Language Models (LLM)

  • How to use Langchain, OpenAI, Llama2, Hanging Face to build LLM-enabled applications.

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

  • Learn how to use LLM techniques in personal documents and projects

  • Learn how to use embedding and data storage.

  • Learn about FAISS and similarity search.

  • Learn about Pinecone and ChromaDB

  • Project: Build a simple chatbot with Llama 2 and Langchain

  • Promo: 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 Summary

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

  • Project: Chatbot support for your website

  • Project: Asking for a book with (langchen + llama 2 + pinecone)

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

  • Project: Building a custom chatbot for any website with Langchain and Llama 2/OpenAI

  • Project: Building a Flask API for automated content summarization using Langchain and Llama 2/Open AI

  • Fine-tuning the Llama2 model with Langchain on a custom dataset

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

  • Project: Building a Medical Chatbot with Llama2, Pinecone and LangChain

  • Project: ChatCSV Application – 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 CPU and build 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 Palm2, Pinecone and Langchain

  • Project: Chat with multiple PDF files using Streamlit program, Palm2, FAISS and Langchain

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

This course is suitable for those who

  • Anyone interested in building an AI powered LLM program using Langchain
  • Obsessed with artificial intelligence

Course Description Learn Langchain: Build Apps using OpenAI and Llama 2 #22 LLM

  • Publisher: Udemy
  • Lecturer: mohammed moeen
  • Training level: Beginner to advanced
  • Training duration: 13 hours and 59 minutes
  • Number of courses: 44

Course Topic Learn Langchain: 12 LLM Build Apps using OpenAI and Llama 2 on 2023/22

Learn Langchain: Build LLM Apps #22 using OpenAI and Llama 2 Learn Langchain: Build LLM Apps #22 using OpenAI and Llama 2 Learn Langchain: Build LLM Apps #22 using OpenAI and Llama 2

Learn the prerequisites of the Langchain course: #22 Build LLM Apps using OpenAI and Llama 2

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

Course Images

Learn Langchain: Build LLM Apps #22 using OpenAI and Llama 2

Sample video of the course

installation Guide

After extract, watch with your favorite player.

English subtitle

Quality: 720p

download link

Part 1 – Download 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Part 5 – Download 1 GB

Download Part 6 – 725 MB

File Password: www.downloadly.ir

size

5.7 GB

free download software latest version