Explore the newly announced NVIDIA NIM platform and create a Llama 3.1 Powered Application in this beginner-friendly 19-minute tutorial. Learn about NIM's collection of inference microservices and state-of-the-art APIs while building a Custom Dataset Maker App. Gain insights into advanced AI concepts explained in simple language with visual examples. Discover how to bypass the entire AI pipeline setup using NIM. Follow along as the instructor demonstrates generating an NGC API key, deploying a NIM container, performing model health checks, and running Llama prompt code. Dive into Llama request and response objects, chain prompts, convert responses to lists, and save custom datasets to CSV files. Perfect for both beginners and professionals looking to leverage NVIDIA NIM for efficient AI development.
NVIDIA NIM for Beginners - Creating a Llama 3.1 Dataset Generator App
Overview
Syllabus
- intro
- what is NVIDIA NIM?
- what are microservices?
- microservices challenges
- NIM benefits
- NIM components
- what is an API?
- NIM API Catalog demo
- NIM deployment options
- generate NGC API KEY
- deploy NIM container
- model health check
- run basic Llama prompt code
- a heavy metal song about job search
- Llama request object
- Llama response object
- chain a series of prompts
- convert prompt response to list
- save custom dataset to CSV
- thanks for watching!
Taught by
Python Simplified
