NVIDIA NIM for Scaling Generative AI App Development
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- Опубліковано 1 чер 2024
- NVIDIA NIM for Scaling Generative AI App Development:
🚀 NVIDIA NIM @NVIDIAAIDev is the fastest way to deploy AI models on accelerated infrastructure across cloud, data center, and PC.
🔍 With just a few clicks, you can run models like MIXTRAL, GEMMA, and Llama.
🔗 Useful Links:
• NVIDIA NIM Overview : nvda.ws/3yMBs7C
• NVIDIA API Catalog : build.nvidia.com/explore/disc...
• Getting Started with NIM for LLMs : docs.nvidia.com/nim/large-lan...
🌐 Interact with the latest NVIDIA AI Foundation Models through a browser and build POCs with model APIs.
NVIDIA NIM for Large Language Models (LLMs) (NVIDIA NIM for LLMs) brings the power of state-of-the-art large language models (LLMs) to enterprise applications, providing unmatched natural language processing and understanding capabilities.
Whether developing chatbots, content analyzers, or any application that needs to understand and generate human language - NVIDIA NIM for LLMs is the fastest path to inference. Built on the NVIDIA software platform, NVIDIA NIM brings state of the art GPU accelerated large language model serving.
NVIDIA NIM inference microservices offer optimized inference microservices that supports such dynamic loading of LoRA adapters, and allow sending mixed-batch requests.
#nvidia #artificialintelligence #ai #llm #llms #generativeai - Наука та технологія
Deeply interesting! Thank you so much!
Glad you enjoyed it!
Your courses are fantastic, including those for the Jetson Nano; please look into creating further videos on the NVIDIA stack, such as Nemo, accelerators, guardrails, and so on. If such a course already exists, please let me know. I am quite interested in learning more about them.
Thanks, will do!
Awesome
Thanks!
Mam can you please make a video on Image classification using Faster ViT and other transformer models...
wow!!
Thanks!
Hello MAM. I am using bytracker and yolo v8 but what happens when people cross each other of if they overlap all just moves id keeps changing . what we can use for continuous tracking . and thanks for being my guru , by watching your videos i learned
When an occlusion is detected, use the ReID features and Kalman filter predictions to maintain the correct ID (Use a ReID model to extract features for each detected person)
Super video aarohi.lots of love from Lahore Pakistan
Thank you!
Hello mam first upon thanks for your all videos. Mam i request you please upload video on custom object classification using yolov8s . Model Training, validation and testing done with puthon script
Okay sure
@@CodeWithAarohi Thanks mam
can u create a video where we create 3d bounding box from a 2D bounding box about vehicles , pedestrians etc.
Noted!
theres a repo named
Occlusion Net
in that how to setup is now deprecated would love to watch if u make that model working
@Code With Aarohi Mam can you please make a video on Image Classification using Pre Trained Swin Transformer.
I have an implementation video on SWIN transformer with custom dataset. The code will be same for using pretrained model. You just need to load the pretrained model.ua-cam.com/video/OX089A-p_Cg/v-deo.html
@@CodeWithAarohi Mam can you also make a video on Image classification using Faster ViT and other transformer models, also a comparison on various models would be appreciated.
I like to ask one important question that all big companies going to provide apis which will do multimodal, which can be handled by machine learning engineer or SE, what is the purpose of data scientist. I think it will vanish in India because here most of them going to use api alone, right?. I think current llm can do both frontend and backend codes well, then whether the count of SE will be reduced ( mostly my view)....by Senior Data Scientist.....
My view - Even with advanced APIs and LLMs, data scientists and software engineers are still needed for creating custom solutions, making strategic decisions, and designing systems. Their roles will change but won't disappear.
@@CodeWithAarohi Thanks for replies, yes you are correct, I am saying the count will be reduced, not disappears✌️
Great work, your videos on Jetson have been really helpful.
Your contact info links on your profile are broken, can you update your linkedin/website or share some other means of contact?
You can mail me at aarohisingla1987@gmail.com
Can you help me with a project to identify works of art such as drawings, sculptures, and photographs?❤
Sure! You can ask me your queries related to project.
@@CodeWithAarohi . What techniques and algorithms are used in the artwork recognition system?
2. How is the database used to train the system compiled and organized?
3. What distinctive features does the system recognize in works of art?
4. How is the system’s performance in recognizing works of art evaluated?
Can you make a video explaining the work of the artwork recognition system, please?❤
1- You can use CNNs for image recognition tasks. They automatically learn to identify low-level features like edges and textures and high-level features such as shapes and objects.
2- Dataset: Collect images of artworks from museums, galleries, online databases, and image repositories. Annotate those images.
3- The system identifies various distinctive features in works of art, such as:Color Palette, Brush Strokes and Texture etc.
4- works of art is evaluated using several metrics - Accuracy, Precision, Recall, and F1-Score, Confusion Matrix
Pls teach Nvidia deepstream
Sure! I will create more videos on deepstream but to start with deepstream, you can check this video: ua-cam.com/video/Ufd86duobvc/v-deo.html
Most of the company people do not afford nvidia, so they will use bedrock/azure openai or studio mostly....
You're absolutely right. 😊 Many companies might not be able to afford expensive hardware like NVIDIA GPUs, so using cloud-based services like Bedrock, Azure OpenAI, or Studio is a smart choice. I'm creating a video on this topic to provide my subscribers with the latest information and keep them informed about what's available in the market. Not everything is for everyone, but it's important to know your options so you can choose what's right for you. 👍