DeepSpeed is an open source deep learning optimization library for PyTorch. The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. The team claimed to achieve up to a 6.2x throughput improvement, 2.8x faster convergence, and 4.6x less communication. (Wikipedia).
Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate ca
From playlist Introduction to Deep Learning
Deep Learning Dictionary - Course Introduction
Welcome to deeplizard's Deep Learning Dictionary! This is a lightweight crash course containing bite-sized, practical and intuitive explanations for the most common terms and concepts in the field of deep learning. π‘ The course lessons will be released over time, but you may unlock early
From playlist Deep Learning Dictionary - Lightweight Crash Course
Weβve hit 2M Subs! π | Deep Look
A HUGE thanks to all of our fans for subscribing to our channel and watching our videos! π₯³ π #shorts #deeplook
From playlist Deep Look #Shorts
We have a new #DeepLook episode about yellowjackets! See the full episode here πhttps://youtu.be/yF61-E-Jq20 #shorts #deeplook #wasp #yellowjackets
From playlist Deep Look #Shorts
Whatβs This Critter?| Deep Look
Do you know what it is? Let us know in the comments. And this video and other new episodes will premiere in the new year! #shorts #deeplook #behindthescenes
From playlist Deep Look #Shorts
Deep Learning - Deep Learning Dictionary
What is deep learning? π To gain early access to the full Deep Learning Dictionary course, register at: π https://deeplizard.com/course/ddcpailzrd π For more in depth lessons, check out the Deep Learning Fundamentals course: π https://deeplizard.com/course/dlcpailzrd ππ¦ VIDEO SECTIONS π¦
From playlist Deep Learning Dictionary - Lightweight Crash Course
Can You Guess What This Is? | Deep Look
We hope you enjoyed this behind the scenes look from our new episode about mussel beards! Watch it here π https://youtu.be/4vWtkzwFnS0 #deeplook #shorts #behindthescenes #mussels
From playlist Deep Look #Shorts
Turing-NLG, DeepSpeed and the ZeRO optimizer
Microsoft has trained a 17-billion parameter language model that achieves state-of-the-art perplexity. This video takes a look at the ZeRO optimizer that enabled this breakthrough. ZeRO allows you to do model- and data-parallelism without having huge cuts in training speed. https://www.mi
From playlist Natural Language Processing
Unleashing the Power of BLOOM 176B with AWS ml.p4de.24xlarge, DJL & DeepSpeed: The Ultimate Boost!
More Power! How and where to run inference of an LLM w/ 176 billion parameter? Well, what about the most expensive ML instance on AWS? The most performant implementation for LLMs (utilizing latest .. and most expensive .. cloud infrastructure)? Some implementation ideas ... Regarding LLM
From playlist Large Language Models - ChatGPT, GPT-4, BioGPT and BLOOM LLM explained and working code examples
AI Weekly Update - February 17th, 2020 (#16)
ZeRO & DeepSpeed: https://www.microsoft.com/en-us/research/blog/zero-deepspeed-new-system-optimizations-enable-training-models-with-over-100-billion-parameters/ Turing-NLG: https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft/?OCID=msr
From playlist AI Research Weekly Updates
AI Weekly Update - May 26th, 2020 (#22)
Thank you for watching! Please Subscribe! ZeRO-2 & DeepSpeed: https://www.microsoft.com/en-us/research/blog/zero-2-deepspeed-shattering-barriers-of-deep-learning-speed-scale/?OCID=msr_blog_deepspeed2_build_tw Open-Sourcing BiT: https://ai.googleblog.com/2020/05/open-sourcing-bit-exploring
From playlist AI Research Weekly Updates
Ultimate Guide To Scaling ML Models - Megatron-LM | ZeRO | DeepSpeed | Mixed Precision
π Sign up for AssemblyAI's speech API using my link π https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=theaiepiphany π¨βπ©βπ§βπ¦ Join our Discord community π¨βπ©βπ§βπ¦ https://discord.gg/peBrCpheKE In this video I show you what it takes to scale ML models up to tril
From playlist Miscellaneous
Supercharge your PyTorch training loop with Accelerate
How to make a training loop run on any distributed setup with π€ Accelerate This video is part of the Hugging Face course: http://huggingface.co/course Related videos: - The Trainer API: https://youtu.be/nvBXf7s7vTI - Write your training loop in PyTorch: https://youtu.be/Dh9CL8fyG80 π€ Acc
From playlist Hugging Face Course
What Is Deep Learning? | Deep Learning Definition Explained| Why Deep Learning| #Shorts| Simplilearn
Enroll for Free Skillup Courses by Simplilearn: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=WhatIsDeepLearning&utm_medium=ShortsDescription&utm_source=youtube This short video on what is deep learning will help you understand the initial concept of deep
From playlist #Shorts | #Simplilearn
The efficiency misnomer | Size does not matter | What does the number of parameters mean in a model?
How important is the number of parameters in deep learning models? But what about other measures like FLOPs or speed/throughput? βΊ Check out our sponsor Aleph Alpha π https://www.aleph-alpha.de/ ! Follow them on Twitter: Aleph__Alpha Paper π: Dehghani, Mostafa, Anurag Arnab, Lucas Beyer,
From playlist The Transformer explained by Ms. Coffee Bean
AI Weekly Update - April 12th, 2021 (#31!)
Thank you for watching! Please Subscribe! Content Links: MoCoV3: https://arxiv.org/pdf/2104.02057.pdf Revisiting Simple Neural Probabilistic Language Models: https://arxiv.org/pdf/2104.03474.pdf Large-scale forecasting: Self-supervised learning framework for hyperparameter tuning: https:/
From playlist AI Research Weekly Updates
Do you have no artistic skill? Would you like to generate images just by typing in what you want? Welcome to CogView text-to-image! :) Buy art & support a nerd! https://t.co/kAUP0Vfq48?amp=1 GitHub: https://github.com/THUDM/CogView == Install == pip install torch==1.9.0+cu111 torchvis
From playlist Python AI Apps
[ML News] Microsoft trains 530B model | ConvMixer model fits into single tweet | DeepMind profitable
#mlnews #turingnlg #convmixer Your latest upates on what's happening in the Machine Learning world. OUTLINE: 0:00 - Intro 0:16 - Weights & Biases raises on 1B valuation (sponsored) 2:30 - Microsoft trains 530 billion parameter model 5:15 - StyleGAN v3 released 6:45 - A few more examples
From playlist All Videos
Basic linear algebra for deep learning
This a series for healthcare professionals and anyone else interested in learning how to create deep neural networks. In this video tutorial I demonstrate the very basic principles of linear algebra. For a more comprehensive view of the topic watch my playlist here: https://www.youtube.c
From playlist Introduction to deep learning for everyone