The Evolution of Kit: Automating Marketing Using Machine Learning - Shopify
I’ll talk about the engineering decision my team made to transform Kit from a rule based system to an artificially-intelligent assistant.
Tony Jebara: VP of Engineering and Head of Machine Learning
Mornings start with a wake-up call from my three young children. I get them fed, dressed and ready for school. But first, I need an espresso – that’s absolutely necessary if I’m going to get anything done! I don’t really go online until I’ve dropped off the kids around 8.15am, then I hop on the subway and head downtown, checking my email and Slack messages en route.
Similarity clustering to catch fraud rings
We use machine learning and similarity clustering to catch fraud rings on Stripe.
Moore's Law is not Ending Soon and the Reason May Surprise You - High Scalability -
Jim Keller recently gave a fascinating and far ranging interview on the AI Podcast. You can find it at Moore's Law, Microprocessors, Abstractions, and First Principles. One of the many topics of discussion was the often predicted death of Moore's Law. In case you've never heard of Jim Keller before, from this intro you can immediately understand why he may have special insight on the topic: Jim Ke
How Big Technical Changes Happen at Slack
Most new things in technology turn out to be fads: patterns of talking and doing that come and go without leaving a permanent mark. Microkernels; EPIC architectures like IA-64; object request brokers; and 1990s’-style neural nets are gone, and will not return. Sorry for the deep throwbacks; only time proves which things are fads, so for uncontroversial…
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Embedding in Go: Part 2 - interfaces in interfaces - Eli Bendersky's website
Embedding in Go: Part 1 - structs in structs - Eli Bendersky's website
Embedding in Go: Part 3 - interfaces in structs - Eli Bendersky's website
For Your Ears Only: Personalizing Spotify Home with Machine Learning
This article is based on the keynote given by Tony Jebara at TensorFlow World in Santa Clara, California, October 2019. You can watch the presentation.
Notes on "Prothean AI"
Exploring Generative AI
Generative AI and particularly LLMs (Large Language Models) have exploded into the public consciousness. Like many software developers Birgitta is intrigued by the possibilities, but unsure what exactly it will mean for our profession in the long run. She has taken on a role in Thoughtworks to coordinate our work on how this technology will affect software delivery practices. On this page she post
GenRec: Towards LLM-Native Recommendation at Netflix
MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix
The AI Evolution of Graph Search at Netflix
Shepherd: How Stripe adapted Chronon to scale ML feature development
This blog discusses the technical details of how we built Shepherd and how we are expanding the capabilities of Chronon to meet Stripe’s scale.
Accessibility for web developers
It's important to build sites that are inclusive and accessible to everyone. There are at least six key areas of disability we can optimize for: visual, hearing, mobility, cognition, speech and neural.
Part 2: Build client-side AI toxicity detection
Toxicity detection protects your users and creates a safer online environment. In part two, we learn how to build a client-side AI tool to detect and mitigate toxicity at its source.
Part 1: Client-side AI to combat online toxicity
"Protect your users and create a safer online environment with toxicity detection. In part one, we share the context you need to deploy AI to mitigate toxicity at its source: users' keyboards."
Ethics and AI
There are numerous ethical considerations when using AI tools and generating new content.
What is artificial intelligence?
Understand the difference between client-side AI and server-side AI, machine learning and deep learning, and so much more.
Upgrade your site search: Contextual answers with generative AI
There are numerous ethical considerations when using AI tools and generating new content.
Meet the Web.dev AI Team
Meet the tech writers and developer relations team.
Download AI models with the Background Fetch API
Embedding JavaScript snippets in C++ with Emscripten
Learn how to embed JavaScript code in your WebAssembly library to communicate with the outside world.
Explore product review suggestions with client-side AI
Online stores can see a 270% increase in conversions by displaying product reviews. Support better reviews with client-side AI.
Understand LLM sizes
Take a look at a few real-world LLMs and the practical implications of different model sizes.
Compare LLM capability with summarization
Evaluate the results of different models and prompts with the LLM as a judge technique. Instead of relying on human judgment, model validation is delegated to another LLM.
Learning from you about AI | Blog
What we learned from you about AI and the web today.
Build responsible web experiences with generative AI | Blog
Best practices to create responsibly with generative AI.
Start our latest course, Learn AI! | Blog
Learn how to build a responsible AI system for your website or web application.
Announcing the Web AI Acceleration Fund | Blog
