Intel Software’s Post

AIStore is a storage system developed at Nvidia which aims at optimizing for deep learning workloads by using simple concepts such as HTTP redirect to provide faster I/O. https://lnkd.in/gZ2_Ya4m #distributedsystems #distributedcomputing

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4dcGR6M

Successfully Completed the ‘Fundamentals of Deep Learning’ course offered by NVIDIA! This journey has been nothing short of enlightening, and I am eager to share my key takeaways: Mastered the Basics: I’ve learned the fundamental techniques and tools required to train a deep learning model💻 Dived Deep into Architectures: I’ve gained hands-on experience with common deep learning data types and model architectures 🧠 Augmented Data for Accuracy: I’ve learned how to enhance datasets through data augmentation to improve model accuracy📈 Leveraged Transfer Learning: I’ve discovered how to leverage transfer learning between models to achieve efficient results with less data and computation 🔄 Gained Confidence: I’ve built the confidence to take on my own project with a modern deep learning framework 🚀 I am open to collaborating on projects and initiatives, so feel free to reach out! Ayush Pandey , Sangita Mahala , Chaitanya Yadav, Abhishek kumar Prajapati ,Aman Jain ☁ ,Lavish Sheth  and Will Ramey #DeepLearning #NVIDIA #AI #DataScience #MachineLearning #TransferLearning #DataAugmentation

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/3N2985n

Google's announcement of #TransformerFAM signals a breakthrough in deep learning architecture. •#Transformers face limitations due to quadratic attention complexity, hindering their ability to process infinitely long inputs. •The proposed Feedback Attention Memory (FAM) architecture introduces a feedback loop, allowing the network to attend to its latent representations. •Experiments demonstrate that TransformerFAM significantly enhances performance on long-context tasks across various model sizes (1B, 8B, and 24B), indicating the potential for empowering #LLMs to process sequences of unlimited length. Link to Paper-https👉://https://lnkd.in/g43ghwDD

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4gA5tt1

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/3B1JB9u

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/47B8nJI

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4d6H1wr

The age of the AI PC is here! Discover how OpenAI’s Triton framework—a domain-specific language and compiler—simplifies deep learning kernel development for efficient GPU code on today’s AI PCs. #IAmIntel https://bit.ly/4e3lYvT