TheSequence - 😴 ❌ Don’t Sleep on JAX
Was this email forwarded to you? Sign up here 📝 EditorialThe ecosystem of deep learning development frameworks has gone from incredibly fragmented to being concentrated around two big names: TensorFlow (Keras included) and PyTorch. A few years ago, a dozen deep learning stacks, such as MxNet, Caffe 2 and Microsoft’s CNTK, showed a similar level of adoption and even comparable with TensorFlow and PyTorch. That picture has changed in the last few years, with the majority of deep learning research and development being concentrated in TensorFlow and PyTorch at levels that it was hard to envision another framework having a real chance to rival those two. Somewhat quietly, a new framework has been boosting its capabilities and adoption within the machine learning community. JAX was initially released by Google Research in 2018 with the objective of streamlining high-performance numerical computing. The framework enables capabilities such as vectorization, JIT-compilation and gradient-based optimization in a very modular and simple programming model. While it was not intended as a deep learning framework in the first place, JAX has seen relevant adoption within the deep learning community. This has been partly influenced by the adoption of AI powerhouses like Google Research and, very notably, DeepMind, which has been very public about their adoption of JAX. As a result, JAX has quickly increased its tech stack’s depth. Just this week, Google Research open-sourced a new ranking library of ranking algorithms for JAX. JAX is still in a relatively nascent stage, but it is the first framework that shows the potential to grow to levels of adoption similar to TensorFlow and PyTorch. For now, it might be a good idea to not sleep on JAX. It might become one of the most relevant deep learning frameworks of the next few years. 🔺🔻TheSequence Scope – our Sunday edition with the industry’s development overview – is free. To receive high-quality content about the most relevant developments in the ML world every Tuesday and Thursday, please subscribe to TheSequence Edge 🔺🔻 🗓 Next week in TheSequence Edge: Edge#217: we publish the recap of our recent ML testing series. Edge#218: we deep dive into BlenderBot 3, a 175B parameter model that can chat about every topic and organically improve its knowledge. Now, let’s review the most important developments in the AI industry this week 🔎 ML ResearchVideo-Text Learning Google Research published a paper detailing a new method for question-answering in video streams →read more on Google Research blog Automated Reasoning Amazon Research published an insightful conversation that highlights the viewpoints of different researchers about the intersection of logic and AI →read more on Amazon Research blog Text Game Simulation AI researchers from Microsoft and the University of Arizona published a paper detailing TextWorldExpress, a high-performance text game simulator that can be used to train language models →read more in the original research paper 💎 We recommend: Discover how to deploy Weights and Biases model registry into production quicklyTraining an ML model nowadays is the easy part — managing the lifecycle of the experiments and the model is where things get complicated. Luckily, Weights and Biases provide the developer tools that, with a couple lines of code, let you keep track of hyperparameters, system metrics, and outputs so you can compare experiments, and easily share your findings with colleagues. However, the value of the model comes from operationalising and turning the model into a prediction service. This requires making data available to these services consistently to show how the models were trained. 🤖 Cool AI Tech ReleasesRax Google Research open source Rax, a JAX-based library for supervised ranking algorithms →read more on Google Research blog Moderation Endpoint OpenAI released a more accurate version of its Moderation Endpoint to detect undesired content →read more on OpenAI blog Implicitron Meta AI open-sourced Implicitron, a framework within PyTorch3D focused on 3D object reconstruction →read more on Meta AI blog 🛠 Real World MLAI Tutoring Service Microsoft details the principles behind an AI-based math tutoring service that improves student’s learning process →read more on Microsoft AI blog 💸 Money in AI
You’re on the free list for TheSequence Scope and TheSequence Chat. For the full experience, become a paying subscriber to TheSequence Edge. Trusted by thousands of subscribers from the leading AI labs and universities. |
Older messages
📌 Event: Last chance to register for conference on scalable AI – Aug 23-24 in San Francisco!
Friday, August 12, 2022
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
🐈⬛ Edge#216: DeepMind’s New Super Model can Generalize Across Multiple Tasks on Different Domains
Friday, August 12, 2022
Gato is able to master tasks such as image classification, question answering or controlling a robotic arm
🏛 Edge#215: Pre-Train Model Testing and the Pillars of Robust ML
Tuesday, August 9, 2022
In this issue: we discuss Pre-Train Model Testing; we overview the pillars of robust machine learning; we explore Great Expectations
🏷 Data Labeling for ML: Survey
Monday, August 8, 2022
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.
🗣🗣🗣Another Amazing Week for Large Language Models
Sunday, August 7, 2022
Weekly news digest curated by the industry insiders
You Might Also Like
Your 3 AI Incubator Tracks: Curriculum, Coaching, or 1-on-1 Mentorship
Friday, April 19, 2024
How to pick the one that's right for you
Logitech's AI Prompt Builder is surprisingly handy
Friday, April 19, 2024
Torvalds on evil devs and AI hype; Quest 2's price drops; Virtual cards explained -- ZDNET ZDNET Tech Today - US April 19, 2024 placeholder Logitech's free AI Prompt Builder is surprisingly
Tesla recalls nearly 4,000 Cybertrucks
Friday, April 19, 2024
After reports of malfunctioning accelerator pedals, Tesla is recalling Cybertrucks View this email online in your browser By Alex Wilhelm Friday, April 19, 2024 Welcome to TechCrunch AM! Today's
SWLW #595: My role as a founder CTO, AI Product Management, and more.
Friday, April 19, 2024
Weekly articles & videos about people, culture and leadership: everything you need to design the org that makes the product. A weekly newsletter by Oren Ellenbogen with the best content I found
The bill to ban TikTok is barreling ahead
Friday, April 19, 2024
The Morning After It's Friday, April 19, 2024. The bill that could ban TikTok in the United States inches closer to becoming law. The legislation passed the House of Representatives last month,
Digest #134: TDD with Serverless, Terraform AI Conversions, K8s Cost Metrics & OpenTofu Response
Friday, April 19, 2024
Learn to convert Terraform templates, deploy SSR on AWS Amplify, and apply TDD to Serverless. Gain insights on PostgreSQL, microfrontends, and secure APIs. ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
Akira Ransomware Gang Extorts $42 Million; Now Targets Linux Servers
Friday, April 19, 2024
THN Daily Updates Newsletter cover Webinar -- The Future of Threat Hunting Is Powered by Generative AI From Data to Defense: Step Into the Next Era of Cybersecurity with CensysGPT Download Now
ASP.NET Core News - 04/19/2024
Friday, April 19, 2024
View this email in your browser Get ready for this weeks best blog posts about ASP.NET Core! This newsletter is sponsored by elmah.io - the most advanced, yet so simple to set up, error logging and
Post from Syncfusion Blogs on 04/19/2024
Friday, April 19, 2024
New blogs from Syncfusion Syncfusion Prepares for MS Build 2024 with Cloud-Ready Solutions on Azure Marketplace By gingerr Syncfusion offers cloud-ready solutions in Azure Marketplace for MS Build 2024
Hacker Newsletter #696
Friday, April 19, 2024
The greatest value of a picture is when it forces us to notice what we never expected to see. //John W. Tukey hackernewsletter Issue #696 // 2024-04-19 // View in your browser #Favorites Unlock your