GitHub Copilot now available for teachers
After a year in technical preview, GitHub Copilot, an AI pair programmer, is now free for all teachers verified on GitHub Global Campus.
Research: quantifying GitHub Copilot’s impact on developer productivity and happiness
When the GitHub Copilot Technical Preview launched just over one year ago, we wanted to know one thing: Is this tool helping developers? The GitHub Next team conducted research using a combination of surveys and experiments, which led us to expected and unexpected answers.
Recommend API
Slack, as a product, presents many opportunities for recommendation, where we can make suggestions to simplify the user experience and make it more delightful. Each one seems like a terrific use case for machine learning, but it isn’t realistic for us to create a bespoke solution for each. Instead, we developed a unified framework we…
Improving the accuracy of our machine learning WAF using data augmentation and sampling
Data Generation and Augmentation methods to train an effective machine learning WAF
Data-Centric Machine Learning: Building Shopify Inbox’s Message Classification Model - Shopify
Our journey building a message classification model for Shopify Inbox with the data-centric approach, from defining our classification taxonomy to training our annotators on labeling.
Research: How GitHub Copilot helps improve developer productivity
We surveyed more than 2,000 developers about whether GitHub Copilot helped them be more productive and improved their coding. Then, we matched this qualitative feedback and subjective perception with quantitative data around objective usage measurements and productivity.
GitHub Copilot is generally available to all developers
We’re making GitHub Copilot, an AI pair programmer that suggests code in your editor, generally available to all developers for $10 USD/month or $100 USD/year. It will also be free to use for verified students and maintainers of popular open source projects.
Applying federated learning to protect data on mobile devices
What the research is: Federated learning with differential privacy (FL-DP) is one of the latest privacy-enhancing technologies being evaluated at Meta as we constantly work to enhance user privacy and further safeguard users’ data in the products we design, build, and maintain. FL-DP enhances privacy in two important ways: It allows machine learning (ML) models […]
The Magic of Merlin: Shopify's New Machine Learning Platform - Shopify
Merlin, Shopify’s machine learning platform that can handle different (often conflicting) requirements, inputs, data types, dependencies, and integrations.
GitHub Copilot now available for Visual Studio 2022
GitHub Copilot is now available from Visual Studio 2022 for everyone in the technical preview.
A Data Scientist’s Guide To Measuring Product Success - Shopify
If you’re a data scientist on a product team, much of your work involves getting a product ready for release. You may conduct exploratory data analyses to understand your product’s market, or build the data models and pipelines needed to power a new product feature, or design a machine learning model.
Evolving our machine learning to stop mobile bots
How Cloudflare has evolved our Machine Learning models to identify automated traffic in mobile apps
Improving the WAF with Machine Learning
Today we are excited to complement managed rulesets (such as OWASP and Cloudflare Managed) with a new tool aimed at identifying bypasses and malicious payloads without human involvement, and before they are exploited
When Command-V (or CTRL-V) is your "copilot"
Code scanning finds more vulnerabilities using machine learning
Today we launched new code scanning analysis features powered by machine learning. The experimental analysis finds more of the most common types of vulnerabilities.
Shopify's Playbook for Scaling Machine Learning - Shopify
Through our experience building our first few models, Shopify Data carved out a pragmatic step-by-step guide that has enabled us to successfully scale machine learning across our organization.
Designing Uber - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Freebie: Wayfinding Icon Sets (164 Icons, PNG, SVG, AI, EPS) — Smashing Magazine
Every once in a while, we publish [freebies](https://www.smashingmagazine.com/category/freebies) related to different occasions and themes. We hope that with this icon set, everyone will be able to find their own use case for these icons in particular. Today, we present to you three icon sets designed by the creative folks at GraphicSurf — all free for personal and commercial use.
Designing Tinder - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Designing Instagram - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Designing WhatsApp - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Product Lessons from ML Home: Spotify’s One-Stop Shop for Machine Learning
Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners with bespoke needs and a do-it-yourself ethos is even harder. In today’s post, we will give you a peek into how we built ML Home, the internal user interface for Spotify’s Machine Learning Platform, and the product lessons we learned along the way in our quest to entrench it in Spotify’s ML
Shopify’s Unique Data Science Hierarchy Of Needs - Shopify
You’ve probably seen the “Data Science Hierarchy of Needs” (pictured below) before. Inspired by Maslow, it shows the tooling you would use at different levels in data science—from logging and user-generated content at the bottom, to AI and deep learning at the very top. While hierarchies like this one can serve as helpful guides, at Shopify, we don’t think it always captures the whole picture. For
A visual introduction to machine learning
Just the first sentence alone here from Stepanie Yee and Tony Chu is solid:
File Scaffolding With Hygen
I read a recent Smashing Magazine post that included a recommendation for Hygen. I just happen to be doing quite a bit of new UI work in a Next.js app and the
Designing Netflix - High Scalability -
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he created a platform for experimenting with different hypothe
Advent Calendars For Web Designers And Developers (December 2021 Edition) — Smashing Magazine
Are you ready for the countdown to Christmas? From [festive](https://www.smashingmagazine.com/2016/12/freebie-christmas-advent-icon-set-25-icons-ai-eps-svg-png-pdf/) [icon](https://www.smashingmagazine.com/2015/12/freebie-christmas-icons-illustrations/) [sets](https://www.smashingmagazine.com/2014/11/freebie-christmas-icon-set-ai-psd-eps-pdf-svg-png/) to advent calendars that are bound to sweeten
How Spotify Uses ML to Create the Future of Personalization
Machine learning is what drives personalization on Spotify. We may have a single platform with 381 million different users, but it may actually be more accurate to say there are 381 million individual versions of Spotify, each one filled with different Home pages, playlists, and recommendations. But with a library of over 70 million tracks to thumb through, how do our ML models actually go about m
Developer Spotlight: Chris Coyier, CodePen
Due to the nature of CodePen — namely, hosting code and an incredibly popular embedding feature, allowing developers to share their CodePen “pens” around the world — any sort of optimization can have a massive impact on CodePen’s business.
Using Propensity Score Matching to Uncover Shopify Capital’s Effect on Business Growth - Shopify
In this study, we prove how Shopify Capital (one of our first machine learning products) has real-world impact by making merchant funding accessible.
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part I)
At Spotify, our goal is to connect listeners with creators, and one way we do that is by recommending quality music and podcasts on the Home page. In this two-part blog series, we will talk about the ML models we build and use to recommend diverse and fulfilling content to our listeners, and the lessons we’ve learned from building the ML stack that serves these models.
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part II)
In of this two-part series, we talked about the challenges we faced with the models we use to recommend content on Home, including:
Freebie: COVID-19 Icon Set (56 Icons, AI, EPS, SVG, PNG) — Smashing Magazine
Every once in a while, we publish [freebies](https://www.smashingmagazine.com/category/freebies/) related to different occasions and themes. We hope that with this icon set, every designer will be able to find their own use case and contribute to saving lives. Free for personal and commercial use. [Get the free icon pack](https://smashingmagazine.com/provide/smashing-freebie-coronavirus-covid19.zi
5 Steps for Building Machine Learning Models for Business - Shopify
We share five steps on approaching machine learning from a business perspective that helped to build and scale our suite of machine learning products.
A Guide To Attracting Clients To Your Agency — Smashing Magazine
Word-of-mouth recommendation is an incredibly desirable way to win work. It requires zero marketing efforts and typically converts at a higher rate as your agency has been recommended. However, you should never rely on word of mouth alone. Many web design agencies consider it a badge of honor that they win work exclusively through word-of-mouth recommendations. In this article, Paul Boag explains
Fully Sharded Data Parallel: faster AI training with fewer GPUs
Training AI models at a large scale isn’t easy. Aside from the need for large amounts of computing power and resources, there is also considerable engineering complexity behind training very large models. At Facebook AI Research (FAIR) Engineering, we have been working on building tools and infrastructure to make training large AI models easier. Our […]
GitHub Copilot research recitation
GitHub Copilot: Parrot or Crow? A first look at rote learning in GitHub Copilot suggestions.
Introducing GitHub Copilot: your AI pair programmer
Today, we’re launching a technical preview of GitHub Copilot, a new AI pair programmer that helps you write better code.
Meet Kats — a one-stop shop for time series analysis
What it is: A new library to analyze time series data. Kats is a lightweight, easy-to-use, and generalizable framework for generic time series analysis, including forecasting, anomaly detection, multivariate analysis, and feature extraction/embedding. To the best of our knowledge, Kats is the first comprehensive Python library for generic time series analysis, which provides both classical […] Rea
Bringing AI to the edge with NVIDIA GPUs
To help anyone build AI-based applications Cloudflare is extending the Workers platform to include support for NVIDIA GPUs and TensorFlow. Soon you’ll be able to build AI-based applications that run across the Cloudflare network using pre-built or custom models for inference.
How Facebook encodes your videos
People upload hundreds of millions of videos to Facebook every day. Making sure every video is delivered at the best quality — with the highest resolution and as little buffering as possible — means optimizing not only when and how our video codecs compress and decompress videos for viewing, but also which codecs are used […]
How MLOps can drive governance for machine learning: A conversation with Algorithmia
This post features a guest interview with Diego M. Oppenheimer, CEO at Algorithmia Over the past few years, machine learning has grown in adoption within the enterprise. More organizations are…
Stuff The Internet Says On Scalability For February 1st, 2021 - High Scalability -
Hey, it's HighScalability time once again! Amazon converts expenses into revenue by transforming needs into products. Take a look at a fulfillment center and you can see the need for Outpost, machine learning, IoT, etc, all dogfooded. Willy Wonka would be proud. Do you like this sort of Stuff? Without your support on Patreon this Stuff won't happen. Know someone who could benefit from becoming one
Embedding an Interactive Analytics Component with Cumul.io and Any Web Framework
In this article, we explain how to build an integrated and interactive data visualization layer into an application with Cumul.io. To do so, we’ve built a
How To Create An Engaging And Useful Chatbot — Smashing Magazine
What makes a good chatbot experience? Most people think of witty responses and machine learning, but the basis of a chatbot UX is actually rooted in content strategy. In this article Marli Mesibov will answer those questions and identify what you as a content designer can do to make your chatbot successful. A poor chatbot simply says “I’m sorry, I don’t understand” on repeat (or worse “error”.) A
Smashing Podcast Episode 33 With Charlie Gerard: What Is Machine Learning? — Smashing Magazine
In this episode, we’re talking about Machine Learning. What sort of tasks can we put it to within a web development context? Drew McLellan talks to expert Charlie Gerard to find out.
On the value of diversified recommendations
One of the biggest questions faced by the recommendation systems community is whether recommendation systems should be solely evaluated by their predictive accuracy, or also focus on other factors such as preference broadening. In order to appreciate the importance of this question, let us look at a couple of simulated scenarios in a dynamic setting. User […]
GitHub Archive Program: Making the archives beautiful
The GitHub Archive Program announces its latest milestone: storing collections of the most popular and depended upon open source repositories in beautiful art cases featuring 3D-printed and AI-generated artwork in significant libraries around the world.
Blocking Slack Invite Spam With Machine Learning
A fact of life for building an internet service is that, sooner or later, bad actors are going to come along and try to abuse the system. Slack is no exception — spammers try to use our invite function as a way to send out spam emails. Having built up the infrastructure to easily deploy…
Using machine learning to predict what file you need next, Part 2
Using GitHub Actions for MLOps & Data Science
Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way. Because the…
Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream - High Scalability -
Who's Hiring? * InterviewCamp.io has hours of system design content. They also do live system design discussions every week. They break down interview prep into fundamental building blocks. Try out their platform. * Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems: large-scale web crawling platform, integrating Deep Learning
Series Forecasting with Recurrent Neural Networks (LSTM)
How to build your first Recurrent Neural Network (RNN) for series forecasting | Usage of Long Short Term Memory (LSTM)
Creating a True One-Stop Solution for Companies to Go Global: Announcing a Partnership Between Cloudflare and JD Cloud & AI
Our mission is to help build a better Internet, for everyone, everywhere. So, today we’re excited to announce a significant strategic partnership with JD Cloud & AI, the cloud and intelligent technology business unit of Chinese Internet giant JD.com.
How Otter.ai automatically transcribes your media files in Dropbox
You can now automatically transcribe your media files in Dropbox by using the Otter.ai integration. Welcome to the future of work.
Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream - High Scalability -
Who's Hiring? * InterviewCamp.io has hours of system design content. They also do live system design discussions every week. They break down interview prep into fundamental building blocks. Try out their platform. * Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems: large-scale web crawling platform, integrating Deep Learning
Post: Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream - High Scalability -
Who's Hiring? * Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems: large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc. - this is going to be a challenging journey for
Post: Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream - High Scalability -
Who's Hiring? * Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. * Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
