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Free Download Distributed Deep Learning With Jax Large-Scale Training Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 232.64 MB | Duration: 0h 30m Implement Multi-Device Parallel Training Strategies for Efficient Large Model Training - FSDP/TP/PP/DP What you'll learn Distributed Training of Large Scale Machine Learning Models How to parallelize models over workers (tensor, pipeline, data, sequence) Collective communication in training large scale models Using Jax and XLA to distribute models over thousands of workers Requirements Intermediate Python, Entry level Machine Learning knowledge, Some Jax knowledge preferred Description Master the art and science of distributed training for GPT-style language models in this comprehensive course using JAX and XLA. Learn how to scale up autoregressive transformer training from scratch, implementing the same techniques used by leading AI labs to train large language models efficiently across multiple devices.What You'll Learn:Distributed Training FundamentalsUnderstanding distributed computing for language modelsJAX's transformation and parallelization primitivesXLA (Accelerated Linear Algebra) compilation optimizationMastering collective communication primitives: • All-reduce for gradient aggregation • All-gather for distributed data collection • Broadcast for parameter synchronization • Scatter/Gather for efficient token distributionAdvanced Parallelization Strategies for GPTTensor Parallelism: Splitting attention heads and MLP layersPipeline Parallelism: Optimal transformer layer distributionSequence Parallelism: Handling long sequences efficientlyData Parallelism: Scaling batch processingHybrid parallelism approaches specific to GPT modelsGSPMD and Automated ShardingImplementing GSPMD for GPT model componentsAutomatic sharding strategies for attention layersOptimizing communication patterns for autoregressive modelsCustom sharding annotations for transformer blocksPractical ImplementationBuilding distributed GPT architectures from scratchEfficient parameter sharding and synchronizationHandling distributed attention computationManaging causal masks in distributed settingsImplementing efficient parameter serversPerformance Optimization and DebuggingProfiling distributed GPT trainingOptimizing attention computationImplementation of gradient checkpointingMemory optimization techniquesHandling numerical stability in distributed settingsHands-on Projects:Implement a mini-GPT from scratch with distributed trainingBuild hybrid parallelism strategies for GPT trainingCreate custom sharding strategies using GSPMDOptimize collective communication patterns for transformer blocksDeploy and manage distributed GPT training across multiple nodesWho This Course is For:Machine Learning Engineers working on language modelsDeep Learning Researchers scaling up GPT-style modelsSoftware Engineers transitioning to large-scale MLAnyone interested in training large language modelsPrerequisites:Strong Python programming skillsBasic understanding of transformer architecturesFamiliarity with language modeling conceptsBasic linear algebra and calculusExperience with any deep learning frameworkBy the end of this course, you'll understand how to implement and scale GPT model training across distributed systems. You'll master the intricacies of parallel training strategies, communication primitives, and optimization techniques specific to large language models. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Introduction to Mesh Lecture 3 Collective Communication Lecture 4 Data Parallelism Lecture 5 FSDP (Fully Sharded Data Parallel) Lecture 6 FSDP+TP (Fully Sharded Data Parallel plus Tensor Parallel Lecture 7 Pipeline Parallel Anyone who wants to learn how to parallelize and scale machine learning models over thousands of workers using Jax and XLA. Screenshot Homepage https://www.udemy.com/course/distributed-deep-learning-with-jax-large-scale-training/ Rapidgator https://rg.to/file/4bc44421b08ac8b1f92285285b93c872/jpwdm.Distributed.Deep.Learning.With.Jax.LargeScale.Training.rar.html Fikper Free Download https://fikper.com/DeMh4x1gNJ/jpwdm.Distributed.Deep.Learning.With.Jax.LargeScale.Training.rar.html No Password - Links are Interchangeable

Building an Enterprise Grade Distributed Online Analytics Platform MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 46M | 546 MB Genre: eLearning | Language: English In this course, you'll venture through the intriguing world of online analytics. You'll develop an understanding for analytics capabilities, and learn how to build a full-blown distributed analytics system, using top-notch open source technologies. Have you ever wanted to venture through the intriguing world of online analytics? In this course, Building an Enterprise Grade Distributed Online Analytics Platform, you'll learn how to build a full-blown distributed analytics system, using top-notch open source technologies. First, you'll begin by understanding what is online analytics and how it differs from offline analytics. You'll further discuss and analyze the parts of a modern online analytics system including, the data backbone, storage, processing, and insight generation. Next, you'll develop an understanding of your choice of technology, its features, and why it was chosen for a specific task. Finally, you'll explore how to properly integrate the technology into your solution in a manner that's most beneficial. Each technology you use will be placed under an observant eye, and you'll see how each technology provides scalability, fault tolerance, and most importantly how it contributes in achieving the functionality you desire. By the end of this course, you'll be ready to immediately enrich your enterprise with amazing analytics capabilities. Download link: http://rapidgator.net/file/62dc92575b67b9a7eb02bf3256377923/pmt2v.Building.an.Enterprise.Grade.Distributed.Online.Analytics.Platform.rar.html http://nitroflare.com/view/BD9F224EC2CD7C8/pmt2v.Building.an.Enterprise.Grade.Distributed.Online.Analytics.Platform.rar https://uploadgig.com/file/download/e7960CFf89b7E84f/pmt2v.Building.an.Enterprise.Grade.Distributed.Online.Analytics.Platform.rar http://uploaded.net/file/jbgsvn21/pmt2v.Building.an.Enterprise.Grade.Distributed.Online.Analytics.Platform.rar Links are Interchangeable - No Password - Single Extraction

Pluralsight - Understanding Distributed Version Control Systems MP4 | Video: 1024x768 | 122 kbps | 44 KHz | Duration: 3 Hours | 370 MB Genre: eLearning | Language: English Distributed Version Control Systems (DVCS) such as Git and Mercurial have rapidly gained popularity over recent years. This course explains the basic prin[beeep]les behind DVCS, and explains the benefits of using them in a wide variety of common devel... It's likely that you will already have heard of Distributed Version Control Systems such as Git, but what are they and how do they work? This course sets out to answer the questions of what is going on under the hood, and to demonstrate the new workflow you would need to learn if you started using it. We look at DVCS from the perspective of three different development scenarios - single developer projects, open source projects, and commercial projects. This course includes lots of diagrams that will help you understand the "DAG," which is the way DVCS store their history, and there are demos of using both Mercurial and Git. We also see how you can make use of repository hosting from sites such as BitBucket and GitHub. http://www.nitroflare.com/view/D7F3C55CF15A629/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part1.rar http://www.nitroflare.com/view/FEE7AE0F63F9896/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part2.rar http://www.nitroflare.com/view/F80993E6F59AA63/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part3.rar http://www.nitroflare.com/view/3E8D21DF3EB47D7/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part4.rar http://rapidgator.net/file/6b277286c8c7326b69643c5a6c5571a9/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part1.rar.html http://rapidgator.net/file/69f7a94ecc9fd8cee4aadc433e9a25b5/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part3.rar.html http://rapidgator.net/file/0b616af6b2b1a7944fb5a075b3007a83/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part2.rar.html http://rapidgator.net/file/f7eb0cb66bfa5aa70b5348ac35f597bc/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part4.rar.html http://uploaded.net/file/ia72as64/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part1.rar http://uploaded.net/file/lvsdtjos/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part2.rar http://uploaded.net/file/k9vk07ib/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part3.rar http://uploaded.net/file/x9wjbuwt/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part4.rar https://www.uploadable.ch/file/t6yVjJCEDdgY/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part1.rar https://www.uploadable.ch/file/Gh3ntBGZgwRj/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part2.rar https://www.uploadable.ch/file/rkXhRBuvU4eg/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part3.rar https://www.uploadable.ch/file/44mdKN46yYEJ/l9xry.Pluralsight..Understanding.Distributed.Version.Control.Systems.part4.rar

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