NVIDIA NIM Beginners Tutorial - Create Datasets Fast with Llama 3.1

Video Description

In this tutorial, we will explore the newly announced NVIDIA NIM platform and use it to create our very own Llama 3.1 Powered Application! 🤩🤩🤩 Specifically, we will dive into NIM's collection of inference microservices, and state of the art APIs! (it's OK if you're not sure what it means yet, I explain it in the video 😉) The end result, is your own Custom Dataset Maker App that you can adjust and enhance with a little bit of Python! 🤓 This video is perfect for beginners, as I explain all the advanced AI concepts in simple language and with plenty of visual examples. It is also perfect for professionals, as I show you how to skip the entire AI pipeline setup with the help of NIM. ⭐ Checkout the NIM API Catalog Here: https://nvda.ws/3KaExRD ⏰ Timestamps ⏰ ------------------------------------------------------------------------------------------ 00:00 - intro 00:38 - what is NVIDIA NIM? 00:55 - what are microservices? 01:20 - microservices challenges 01:42 - NIM benefits 02:30 - NIM components 03:11 - what is an API? 03:54 - NIM API Catalog demo 05:10 - NIM deployment options 06:45 - generate NGC API KEY 07:51 - deploy NIM container 09:03 - model health check 09:31 - run basic Llama prompt code 10:37 - a heavy metal song about job search 11:09 - Llama request object 12:29 - Llama response object 13:40 - chain a series of prompts 16:22 - convert prompt response to list 17:45 - save custom dataset to CSV 18:14 - thanks for watching! 🚀 My Brev Launchable - Dataset Maker Notebook 🚀 ------------------------------------------------------------------------------------------ https://console.brev.dev/launchable/deploy?userID=gryyl1ate&orgID=ul7qvw3az&name=dataset_maker&instance=A100%40a2-ultragpu-1g%3Anvidia-a100-80gb%3A1&diskStorage=500&cloudID=GCP&baseImage=nvcr.io%2Fnvidia%2Fnemo%3A24.05.01&file=https%3A%2F%2Fgithub.com%2FMariyaSha%2FLlama3.1_DatasetMaker%2Fblob%2Fmain%2FLlama3.1_dataset_maker_brevdev.ipynb&launchableID=env-2kZVjyRCFgLo4X6SDhVoQSJn5Ux 📺 Related Tutorials of Mine📺 ------------------------------------------------------------------------------------------ ⭐ CUDA For Beginners: https://youtu.be/r9IqwpMR9TE ⭐ Docker Containers Simply Explained: https://youtu.be/-l7YocEQtA0 🤝 Connect with me 🤝 ------------------------------------------------------------------------------------------ 🔗 Github: https://github.com/mariyasha 🔗 X: https://x.com/MariyaSha888 🔗 LinkedIn: https://ca.linkedin.com/in/mariyasha888 🔗 Blog: https://www.pythonsimplified.org 🔗 Discord: https://discord.com/invite/wgTTmsWmXA 💳 Credits 💳 ------------------------------------------------------------------------------------------ ⭐ Beautiful titles, transitions, sound FX: mixkit.co ⭐ Beautiful Icons: flaticon.com ⭐ Beautiful Thumbnail: Grok and Firefly #ai #artificialintelligence #ml #machinelearning #dl #deeplearning #largelanguagemodels #llm #llama #nvidia #python #pythontutorial #pythontutorialforbeginners #pythonforbeginners #learnpython #learning #coding #programming #software #softwareengineer #softwaredevelopment #microservicesarchitecture #microservices #api #container #docker #server #dataset #datascience #computerscience #technology #tech #prompting #application #pythoncoding #tutorial #codingtutorial #jupyternotebook #vscode #cloudcomputing #inference #prediction