• views: 335
• date: 25 July 2023
• posted by: voska89

Build Real World LLM powered applications with LangChain, OpenAI, Hugging Face. Create Web Apps with Streamlit.
What you'll learn
Master the basics of LangChain and the fundamentals of Large Language Models (LLMs)
How to Use LangChain, OpenAI, Llama 2, Hugging Face to Build LLM-Powered Applications.
Learn about LangChain components, including LLM wrappers, prompt templates, chains, agents, memory and document loaders
Learn to apply LLM techniques to personal documents and projects
Learn how to use embeddings and vector data stores.
Learn about FAISS and Similarity Search.
Project: Quiz MCQ Creator Application
Project: YouTube Script Writing Application
Project: PDF Chat App (GUI) | ChatGPT for Your PDF File
Project: Chat with Multiple PDF Documents | Streamlit Application
Project: Summarize PDF Using LangChain, OpenAI & Gradio
Project: YouTube Video Summarizer
Project: PrivateGPT- Chat with your Files Offline and Free
Project: Support Chat Bot For Your Website
Project: Question a Book with (LangChain + Llama 2 + Pinecone)
Requirements
Basic programming experience with Python!
Curiosity to learn AI field
Description
Master LangChain, OpenAI and Hugging Face. Learn to Create hands-on generative LLM-powered applications with LangChain. Create powerful web-based front-ends for your LLM Application using Streamlit.By the end of this course, you will have a solid understanding of the fundamentals of LangChain OpenAI, Llama 2 and HuggingFace. You'll also be able to create modern front-ends using Streamlit in Python.Dive into hands-on projects that will shape your expertise, including:Project 1: PDF Chat App (GUI) | ChatGPT for Your PDF File - Streamlit Application to chat with your PDF file using LangChain and OpenAI.Project 2: YouTube Script Writing App - Effortlessly create title and script for the YouTube video using LangChain and OpenAIProject 3:  MCQ Quiz Creator App - Seamlessly create multiple-choice quizzes for your students using LangChain and OpenAI/ Hugging FaceProject 4: Chat with Multiple PDF Documents | Streamlit Application- Chat with your PDF files using LangChain and OpenAI.Project 5: Support Chat Bot For Your Website - Helps your visitors/customers to find the relevant data or blog links that can be useful to them.Project 6: YouTube Video Summarizer - YouTube Video Summarizer, powered by the dynamic duo of LangChain and OpenAI! In this groundbreaking tool, we have harnessed the cutting-edge capabilities of language processing technology to transform the way you consume YouTube content.Project 7: Summarize PDF Using LangChain,  OpenAI  and Gradio:  Summarize PDF files using Lang Chain and OpenAI  and create a sharable web interface using GradioProject 8: PrivateGPT- Chat with your Files Offline and FreeProject 9: Question 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 store.Course Content:In this course, we will explore the capabilities of LangChain, to build scalable and performant AI applications.You will gain in-depth knowledge of LangChain components, including LLM wrappers, Prompt Template, Chains, Agents, Memory and Document Loaders. Additionally, we will delve into embeddings and vector databases
Who this course is for
Anyone who is excited to build AI powered LLM apps using Langchain
AI Enthusiast
Homepage

https://www.udemy.com/course/learn-langchain-build-12-llm-apps-using-openai-llama-2/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.