NVIDIA NIM: Easily Deploy and Integrate Generative AI Models In App
Unlock the power of Nvidia NIM and effortlessly deploy generative AI models with our comprehensive tutorial! 🌟 In this video, we'll show you how to access and integrate the latest AI models using Nvidia NIM's API, optimised and accelerated for seamless deployment. Whether you're working with vision or text models, we've got you covered! 💻
NVIDIA NIM: https://nvda.ws/4b9XbEv
Generative AI/LLM Learning Paths: https://nvda.ws/3WQxS6D
In This Video, You Will Learn:
How to deploy generative AI models instantly using Nvidia NIM.
How to access community-built AI models via Nvidia's API.
Step-by-step integration of Cosmos 2 for vision and LLaMA 370B for text.
How to create a user interface that identifies objects and analyses images.
Detailed coding instructions to integrate AI models into your applications.
🔗 Links:
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Discord: / discord
Twitter / X : / mervinpraison
Sponsor a Video or Do a Demo of Your Product: https://mer.vin/contact/
Code: https://mer.vin/2024/05/nvidia-nim-ex...
NVIDIA NIM: https://nvda.ws/4b9XbEv
Generative AI/LLM Learning Paths: https://nvda.ws/3WQxS6D
Timestamps:
0:00 - Introduction to Nvidia NIM
0:23 - Demo: User Interface for Image Analysis
0:50 - Vision and Text Model Integration
1:15 - Exploring the Model Catalog
2:15 - Integrating LLaMA 3 70B in Python
5:02 - Implementing Image Analysis with Kosmos 2
8:18 - Creating a Chat Interface with Chainlit
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