Messages
5/10/2022
11 : 14
🚰 Edge#189: What is Pipeline Parallelism?
In this issue: we discuss pipeline parallelism; we explore PipeDream, an important Microsoft Research initiative to scale deep learning architectures; we overview BigDL, Intel's open-source library
5/8/2022
11 : 14
👄 A New Open Source Massive Language Model
Weekly news digest curated by the industry insiders
5/6/2022
12 : 14
📝 Guest post: Active Learning 101: A Complete Guide to Higher Quality Data* (part 2)
In this article, Superb AI's team explains the benefits of building an active learning flow for your computer vision project
5/5/2022
12 : 14
🧙🏻♂️ Edge#188: Inside Merlin, the Platform Powering Machine Learning at Shopify
The eCommerce giant published some details about the platform powering its ML workflows
5/4/2022
12 : 14
📝 Guest post: Testing feature logic, transformations, and feature pipelines with pytest*
Operational machine learning requires the offline and online testing of both features and models. In this guest post, our partner Hopsworks shows you how to design, build, and run offline tests for
5/3/2022
11 : 14
🥢 Edge#187: The Different Types of Data Parallelism
In this issue: we overview the different types of data parallelism; we explain TF-Replicator, DeepMind's framework for distributed ML training; we explore FairScale, a PyTorch-based library for
5/2/2022
11 : 44
📌 Event: SuperAnnotate’s Free Webinar Series on Automated CV Pipelines is Live
Join the Upcoming Session
5/1/2022
11 : 14
🔎🧠 Improving Language Models by Learning from the Human Brain
Weekly news digest curated by the industry insiders
4/30/2022
11 : 34
📌 Event: Understanding performance and availability for feature stores
Your time is precious, we made it real simple
4/29/2022
12 : 14
📝 Guest post: 2022 State of Data Practice Report - Key Findings Revealed*
In this Guest post, our partner Molecula introduces the 2022 State of Data Practice Report and reveals why many companies still struggle to implement AI/ML successfully. What the report covers: Top 3
4/28/2022
12 : 14
🏗 Edge#186: From Feature Stores to Feature Platforms
Can one feature store serve them all? What are important differences in capabilities between offerings? What will the evolution of feature stores bring us?
4/27/2022
12 : 14
🎙 Hyun Kim/CEO of Superb AI About Challenges with Data Labeling in Computer Vision
the fundamental differences and challenges between automated data labeling techniques for image and video datasets and much more
4/26/2022
11 : 24
🕸 Edge#185: Centralized vs. Decentralized Distributed Training Architectures
In this issue: we overview Centralized vs. Decentralized Distributed Training Architectures; we explain GPipe, an Architecture for Training Large Scale Neural Networks; we explore TorchElastic, a
4/24/2022
11 : 14
🦾 Serverless ML Execution
Weekly news digest curated by the industry insiders
4/22/2022
12 : 14
📌 Event: Join us at apply() – the ML Data Engineering Community Conference
It's free
4/21/2022
12 : 14
🧑🎨 Edge#184: Inside DALL-E 2: OpenAI’s Upgraded Supermodel that can Generate Artistic Images from Text
The new model outperforms its predecessor by generating higher quality images from highly complex language descriptions
4/20/2022
12 : 14
📝 Guest post: How to setup MLOps at a reasonable scale: tips, tool stacks, and templates from companies that did
No subscription is needed
4/19/2022
11 : 14
⚙️ Edge#183: Data vs Model Parallelism in Distributed Training
In this issue: we explore data vs model parallelism in distributed training; we discuss how AI training scales; we overview Microsoft DeepSpeed, a training framework powering some of the largest neural
4/17/2022
11 : 14
🛍 Machine Learning at Shopify
Weekly news digest curated by the industry insiders
4/16/2022
15 : 34
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