NVIDIA NIM: The Game-Changer in Gen AI Deployment (Build a RAG)

In this tutorial, I dive into the powerful capabilities of NVIDIA NIM, the latest breakthrough in generative AI development. Discover how NVIDIA NIM, an inference microservice, revolutionizes the way we deploy generative AI across enterprises, offering support for a wide array of AI models—from NVIDIA AI foundation models and open-source projects to custom AI creations.

Leveraging the solid foundation of NVIDIA Triton Inference Server, NVIDIA TensorRT, NVIDIA TensorRT-LLM, and PyTorch, NVIDIA NIM facilitates large-scale, seamless AI inference, enabling developers to craft enterprise-grade generative AI applications with minimal coding effort.

Join me as I guide you through building a state-of-the-art RAG (Retrieval-Augmented Generation) model using Mistral 7B and NVIDIA NIM on Colab. This hands-on tutorial will not only illuminate the process but also showcase the speed and efficiency gains in generative AI development.

Don't miss out on learning how to leverage these cutting-edge technologies to push your generative AI projects to new heights. Like, comment, and subscribe for more insights into accelerating your generative AI journey.

Join this channel to get access to perks:

To further support the channel, you can contribute via the following methods:

Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW

#nvidia #blackwell #llm

[paresh]

Would be Great to see a Video on a really Advanced Production-ready RAG Application Combining Reranking, Hyde & Possibly the New RAFT techniques. If you can use the Haystack 2.0 to showcase and build this RAG from Scratch, That would be incredible. Thanks again for all your Content!

[kshitizkhandelwal]

This is great, I've learnt alot from your tutorials! Can we have one end to end production level project involving CI/CD, logging, docker, MLOPS. The video might be a little long but it will really help developers. Thanks a ton

[jacquestahan]

This is a great tutorial my G keep it up!

[limjuroy]

I don't understand why we need 2 chains and 2 prompt templates and to do the answering. Can someone explain it ro me?

[ramielkady]

I was woundering if DAG could be victorized with their cognitive UTCs ? I mean you used a NAV$ token - the cumulative instance not the isolated one, correct ?

[josersleal]

Thank you. Some sugestions from my pov. ennunciate the words, I also have an accent and its painfull for others. Also replace the word 'this' by the names of things as its easier to follow. You should maybe also write a blog about this.

[lokeshart]

Sir i have a request could u pls do it or make a video on its like recreating gemini demo in reallife using gemini vision or llava or any vlm and build a vision assistant with webcam ..❤

[rhiteshkumarsingh]

could u make videos on rag evaluation using ragas?