Messages
8/18/2022
12 : 14
🗣🤖 Edge#218: Meta AI's BlenderBot 3, A 175B Parameter Model that can Chat About Every Topic and Organically Impr…
The new release represents a major improvement compared to previous versions
8/16/2022
11 : 24
🔂 Edge#217: ML Testing Series – Recap
Last week we finished our mini-series about ML testing, one of the most critical elements of the ML models' lifecycle. Here is a full recap for you to catch up with the topics we covered. As the
8/15/2022
13 : 4
📙 Free book: Meet the Data Science Innovators
Learn from top data science leaders, who share their insights on their groundbreaking innovations, their careers, and the data science profession. Who's doing the most innovative things in data
8/14/2022
11 : 54
😴 ❌ Don’t Sleep on JAX
Weekly news digest curated by the industry insiders
8/12/2022
12 : 4
📌 Event: Last chance to register for conference on scalable AI – Aug 23-24 in San Francisco!
The world's top minds in AI and distributed computing are coming to Ray Summit — August 23-24 in San Francisco. Join the global Ray community for two days of keynotes, training, and technical
8/12/2022
2 : 55
🐈⬛ Edge#216: DeepMind’s New Super Model can Generalize Across Multiple Tasks on Different Domains
Gato is able to master tasks such as image classification, question answering or controlling a robotic arm
8/9/2022
11 : 24
🏛 Edge#215: Pre-Train Model Testing and the Pillars of Robust ML
In this issue: we discuss Pre-Train Model Testing; we overview the pillars of robust machine learning; we explore Great Expectations
8/8/2022
12 : 4
🏷 Data Labeling for ML: Survey
About 45% of the time in data science projects is consumed by processing and labeling data. It's fair to say that data labeling is one of the most expensive tasks of any machine learning project.
8/7/2022
11 : 14
🗣🗣🗣Another Amazing Week for Large Language Models
Weekly news digest curated by the industry insiders
8/5/2022
12 : 14
📝 Guest post: Auto Labeling to Power Insurance Automation: Quickly Label Quality Datasets*
In this guest post, Superb AI shares a use case with their client Autonet that focuses on streamlining the claims experience in the auto insurance industry, using computer vision, AI, and domain
8/4/2022
12 : 24
🗺 Edge#214: NLLB-200, Meta AI’s New Super Model that Achieved New Milestones in Machine Translations Across 200 L…
One of the most important achievements to bring machine translation to low-resource languages
8/2/2022
11 : 14
🩺 Edge#213: Testing Trained Models
the fundamental types of tests that can be applied to trained models +how Meta uses Bayesian Optimization for A/B tests +TensorFlow's What-If Tool
8/1/2022
12 : 24
📝 Guest post: Using AI to Learn a Disentangled Gait Representation for Versatile Quadruped Locomotion*
The Oxford Robotics Institute (ORI) is built from collaborating and integrated groups of researchers, engineers and students all driven to change what robots can do for us. The ORI is interested in a
7/31/2022
11 : 24
🧬 DeepMind’s AlphaFold Database
Weekly news digest curated by the industry insiders
7/29/2022
12 : 4
📝 Guest post: Getting ML data labeling right*
What's the best way to gather and label your data? There's no trivial answer as every project is unique. But you can get some ideas from a similar case to yours. In this article, Toloka's
7/28/2022
11 : 54
👁 Edge#212: Inside the Masterful CLI Trainer, a low-code CV model development platform
On Thursdays, we deep dive into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new AI developments and introduce the
7/27/2022
12 : 14
🎙 Ran Romano/Qwak about bridging the gap between data science and ML engineering
It's so inspiring to learn from practitioners and thinkers. Getting to know the experience gained by researchers, engineers, and entrepreneurs doing real ML work is an excellent source of insight
7/26/2022
11 : 14
🤷🏻 Edge#211: What to Test in ML Models
In this issue: we discuss what to test in ML models; we explain how Meta uses A/B testing to improve Facebook's newsfeed algorithm; we explore Meta's Ax, a framework for A/B testing in PyTorch.
7/24/2022
11 : 24
🗄 A Model Compression Library You Need to Know About
Weekly news digest curated by the industry insiders
7/22/2022
11 : 54
📌 Event: Join us for this live webinar to learn how Tide reduced model deployment time by 50%!
A real use case you don't want to miss!