Deploy LLM Application on AWS EC2 with Langchain and Ollama | Deploy LLAMA 3.2 App

Описание: Local LLM Tutorial Playlist:    • Local LLM Tutorial  

In this tutorial, I’ll walk you through the step-by-step process of deploying your AI-powered chat application using LangChain, Llama, and Streamlit on AWS EC2. Whether you’re building an LLM chatbot for personal projects or for production, this guide covers everything you need to know about:

Launching an EC2 instance on AWS
Selecting the right AMI and instance type (Deep Learning AMI with Nvidia GPU, C7 Intel-powered instances)
Installing LangChain, AMA, and Streamlit
Cloning your project from GitHub to EC2
Configuring security groups and ports for external access
Running and hosting your chat app on AWS EC2 efficiently
Ensuring persistent app operation with screen.

Check out the full source code on GitHub and learn how to host your LLM chat app with low latency and minimal cost.

Deployment of Machine Learning Models in Production in Python:
https://bit.ly/bert_nlp

Previous Video:
   • Create Conversational Chat Bot Application...  

Code Files:
https://github.com/laxmimerit/ollama-...

Streamlit Tutorials:
   • Streamlit Tutorial 1-1 - Working with Text...  


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