NVIDIA NIM Beginners Tutorial - Create Datasets Fast with Llama 3.1 скачать в хорошем качестве

NVIDIA NIM Beginners Tutorial - Create Datasets Fast with Llama 3.1

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/d... 📺 Related Tutorials of Mine📺 ------------------------------------------------------------------------------------------ ⭐ CUDA For Beginners:    • CUDA Simply Explained - GPU vs CPU Paralle...   ⭐ Docker Containers Simply Explained:    • Docker Simply Explained with a Machine Lea...   🤝 Connect with me 🤝 ------------------------------------------------------------------------------------------ 🔗 Github: https://github.com/mariyasha 🔗 X: https://x.com/MariyaSha888 🔗 LinkedIn:   / mariyasha888   🔗 Blog: https://www.pythonsimplified.org 🔗 Discord:   / discord   💳 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