Build Real World LLM powered applications with LangChain, OpenAI, Llama2, Hugging Face. Create Web Apps with Streamlit.
Instructed by Muhammad Moin 15 hours on-demand video & 53 downloadable resources
What you’ll learn
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Master the basics of LangChain and the fundamentals of Large Language Models (LLMs)
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How to Use LangChain, OpenAI, Llama 2, Hugging Face to Build LLM-Powered Applications.
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Learn about LangChain components, including LLM wrappers, prompt templates, chains, agents, memory and document loaders
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Learn to apply LLM techniques to personal documents and projects
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Learn how to use embeddings and vector data stores.
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Learn about FAISS and Similarity Search.
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Learn about Pinecone and ChromaDB
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Project: Create a Simple Chatbot with Llama 2 and LangChain
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Project: Quiz MCQ Creator Application
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Project: YouTube Script Writing Application
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Project: PDF Chat App (GUI) | ChatGPT for Your PDF File
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Project: Chat with Multiple PDF Documents | Streamlit Application
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Project: Summarize PDF Using LangChain, OpenAI & Gradio
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Project: YouTube Video Summarizer
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Project: PrivateGPT- Chat with your Files Offline and Free
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Project: Support Chat Bot For Your Website
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Project: Question a Book with (LangChain + Llama 2 + Pinecone)
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Project: Create a chatbot to chat with multiple documents including pdf, .docs, .txt using Llama 2 , LangChain/ OpenAI and ChromaDB
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Project: Create a Custom Chatbot for any Website with LangChain and Llama 2/ OpenAI
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Project: Creating a Flask API for Automatic Content Summarization using LangChain and Llama 2/ Open AI
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Fine-Tune Llama 2 Model with LangChain on Custom Dataset
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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.
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Project: Create a Medical Chatbot with Llama2, Pinecone and LangChain
Deal Score+1
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