Learn LangChain: Build #17 LLM Apps using OpenAI & Llama 2
Build Real World LLM powered applications with LangChain, OpenAI, Llama2, Hugging Face. Create Web Apps with Streamlit.
Created by Mohammad Moin | 15 hours on-demand video course
Master LangChain, OpenAI, Llama 2 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.
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.
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.
- Learn about Pinecone and ChromaDB
- Project: Create a Simple Chatbot with Llama 2 and LangChain
- 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)
- Project: Create a chatbot to chat with multiple documents including pdf, .docs, .txt using Llama 2 , LangChain/ OpenAI and ChromaDB
- Project: Create 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-Tune Llama 2 Model with LangChain on Custom Dataset
- Introducing ‘GPT-LLM-Trainer’ — the world’s simplest way to train a task-specific model. Just input your idea, and let the AI do the rest.
- Project: Create a Medical Chatbot with Llama2, Pinecone and LangChain
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