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AI & ML — The rise of the AI crawler

The rise of the AI crawler

New research reveals how ChatGPT, Claude, and other AI crawlers process web content, including JavaScript rendering, assets, and other behavior and patterns—with recommendations for site owners, devs, and AI users.

VVercel·December 17, 2024AI & ML
AI & ML — Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine

Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine

Andromeda is Meta’s proprietary machine learning (ML) system design for retrieval in ad recommendation focused on delivering a step-function improvement in value to our advertisers and people. This system pushes the boundary of cutting edge AI for retrieval with NVIDIA Grace Hopper Superchip and Meta Training and Inference Accelerator (MTIA) hardware through innovations in ML […]

CWChris Wiltz·December 2, 2024AI & ML
AI & ML — AI is taking your job

AI is taking your job

AI is changing how hiring works, and that makes in person connections even more important.

KCKent C. DoddsKent C. Dodds·November 21, 2024AI & ML
AI & ML — AI SDK 4.0

AI SDK 4.0

Introducing PDF support, computer use, and an xAI Grok provider

VVercel·November 18, 2024AI & ML
AI & ML — How Shopify improved consumer search intent with real-time ML - Shopify

How Shopify improved consumer search intent with real-time ML - Shopify

In the dynamic landscape of commerce, Shopify merchants rely on our platform's ability to seamlessly and reliably deliver highly relevant products to potential customers. Therefore, a rich and intuitive search experience is an essential part of our offering. Over the past year, Shopify has been integrating AI-powered search capabilities into our merchants’ storefronts. Shopify Storefront Search ha

SEShopify Engineering·October 18, 2024AI & ML
AI & ML — 5 tips and tricks when using GitHub Copilot Workspace

5 tips and tricks when using GitHub Copilot Workspace

GitHub Next launched the technical preview for GitHub Copilot Workspace in April 2024. Since then, we’ve been listening to the community, learning, and have some tips to share on how to get the most out of it!

CRChris Reddington, Cole BemisChris Reddington, Cole Bemis·October 9, 2024AI & ML
AI & ML — How open source AI can improve population estimates, sustainable energy, and the delivery of climate change interventions

How open source AI can improve population estimates, sustainable energy, and the delivery of climate change interventions

Data for Good at Meta is open-sourcing the data used to train our AI-powered population maps. We’re hoping that researchers and other organizations around the world will be able to leverage these tools to assist with a wide range of projects including those on climate adaptation, public health and disaster response. The dataset and code […]

CWChris Wiltz·October 3, 2024AI & ML
AI & ML — How We Generated Millions of Content Annotations

How We Generated Millions of Content Annotations

With the fields of machine learning (ML) and generative AI (GenAI) continuing to rapidly evolve and expand, it has become increasingly important for innovators in this field to anchor their model development on high-quality data.

DPDana Puleo , Meghana Seetharam , and Katarzyna Drzy·October 1, 2024AI & ML
AI & ML — Boost your CLI skills with GitHub Copilot

Boost your CLI skills with GitHub Copilot

Want to know how to take your terminal skills to the next level? Whether you’re starting out, or looking for more advanced commands, GitHub Copilot can help us explain and suggest the commands we are looking for.

MDMichelle DukeMichelle Duke·September 26, 2024AI & ML
AI & ML — AI SDK 3.4

AI SDK 3.4

AI SDK 3.4 introduces middleware, data stream protocol, and multi-step generations

VVercel·September 20, 2024AI & ML
AI & ML — Why Anticipatory Design Isn’t Working For Businesses — Smashing Magazine

Why Anticipatory Design Isn’t Working For Businesses — Smashing Magazine

Anticipatory design, powered by Artificial Intelligence (AI), Machine learning (ML), and Big Data (BD), promises to transform user experiences by predicting and fulfilling needs before users even express them. While this proactive approach seems revolutionary, many businesses struggle to meet the high expectations it sets. Joana Cerejo delves into the challenges of anticipatory design, highlights

JCJoana CerejoJoana Cerejo·September 10, 2024AI & ML
AI & ML — How PyTorch powers AI training and inference

How PyTorch powers AI training and inference

Learn about new PyTorch advancements for LLMs and how PyTorch is enhancing every aspect of the LLM lifecycle. In this talk from AI Infra @ Scale 2024, software engineers Wanchao Liang and Evan Smothers are joined by Meta research scientist Kimish Patel to discuss our newest features and tools that enable large-scale training, memory efficient […]

CWChris Wiltz·August 23, 2024AI & ML
AI & ML — Inside the hardware and co-design of MTIA

Inside the hardware and co-design of MTIA

In this talk from AI Infra @ Scale 2024, Joel Colburn, a software engineer at Meta, technical lead Junqiang Lan, and software engineer Jack Montgomery discuss the second generation of MTIA, Meta’s in-house training and inference accelerator. They cover the co-design process behind building the second generation of Meta’s first-ever custom silicon for AI workloads, […]

CWChris Wiltz·August 22, 2024AI & ML
AI & ML — Bringing Llama 3 to life

Bringing Llama 3 to life

Llama 3 is Meta’s most capable openly-available LLM to date and the recently-released Llama 3.1 will enable new workflows, such as synthetic data generation and model distillation with unmatched flexibility, control, and state-of-the-art capabilities that rival the best closed source models. At AI Infra @ Scale 2024, Meta engineers discussed every step of how we […]

CWChris Wiltz·August 21, 2024AI & ML
AI & ML — Aparna Ramani discusses the future of AI infrastructure

Aparna Ramani discusses the future of AI infrastructure

Delivering new AI technologies at scale also means rethinking every layer of our infrastructure – from silicon and software systems and even our data center designs. For the second year in a row, Meta’s engineering and infrastructure teams returned for the AI Infra @ Scale conference, where they discussed the challenges of scaling up an […]

CWChris Wiltz·August 20, 2024AI & ML
AI & ML — How Meta animates AI-generated images at scale

How Meta animates AI-generated images at scale

We launched Meta AI with the goal of giving people new ways to be more productive and unlock their creativity with generative AI (GenAI). But GenAI also comes with challenges of scale. As we deploy new GenAI technologies at Meta, we also focus on delivering these services to people as quickly and efficiently as possible. […]

CWChris Wiltz·August 14, 2024AI & ML
AI & ML — Vercel AI SDK 3.3

Vercel AI SDK 3.3

Vercel AI SDK 3.3 introduces tracing, multi-modal attachments, JSON streaming to clients, and more.

VVercel·August 6, 2024AI & ML
AI & ML — How to integrate AI into your business

How to integrate AI into your business

Learn to build robust AI use cases, evaluate initiatives, and integrate AI into your team's workflow. Discover how Vercel's platform accelerates AI development and drives innovation.

VVercel·August 6, 2024AI & ML
AI & ML — RoCE networks for distributed AI training at scale

RoCE networks for distributed AI training at scale

AI networks play an important role in interconnecting tens of thousands of GPUs together, forming the foundational infrastructure for training, enabling large models with hundreds of billions of parameters such as LLAMA 3.1 405B. This week at ACM SIGCOMM 2024 in Sydney, Australia, we are sharing details on the network we have built at Meta […]

CWChris Wiltz·August 5, 2024AI & ML