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907 articles on AI & ML.

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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
AI & ML — What’s new with GitHub Copilot: July 2024

What’s new with GitHub Copilot: July 2024

To enhance your coding experience, AI tools should excel at saving you time with repetitive, administrative tasks, while providing accurate solutions to assist developers. Today, we’re spotlighting three updates designed to increase efficiency and boost developer creativity.

ESElle Shwer, Stella YangElle Shwer, Stella Yang·July 31, 2024AI & ML
AI & ML — Integrating Image-To-Text And Text-To-Speech Models (Part 1) — Smashing Magazine

Integrating Image-To-Text And Text-To-Speech Models (Part 1) — Smashing Magazine

Joas Pambou built an app that integrates vision language models (VLMs) and text-to-speech (TTS) AI technologies to describe images audibly with speech. This audio description tool can be a big help for people with sight challenges to understand what’s in an image. But how this does it even work? Joas explains how these AI systems work and their potential uses, including how he built the app and wa

JPJoas PambouJoas Pambou·July 24, 2024AI & ML
AI & ML — Meet Caddy – Meta’s next-gen mixed reality CAD software

Meet Caddy – Meta’s next-gen mixed reality CAD software

What happens when a team of mechanical engineers get tired of looking at flat images of 3D models over Zoom? Meet the team behind Caddy, a new CAD app for mixed reality. They join Pascal Hartig (@passy) on the Meta Tech Podcast to talk about teaching themselves to code, disrupting the CAD software space, how […]

CWChris Wiltz·July 18, 2024AI & ML
AI & ML — Taming the tail utilization of ads inference at Meta scale

Taming the tail utilization of ads inference at Meta scale

Tail utilization is a significant system issue and a major factor in overload-related failures and low compute utilization. The tail utilization optimizations at Meta have had a profound impact on model serving capacity footprint and reliability. Failure rates, which are mostly timeout errors, were reduced by two-thirds; the compute footprint delivered 35% more work for […]

CWChris Wiltz·July 10, 2024AI & ML
AI & ML — What is good design in the age of AI?

What is good design in the age of AI?

As AI democratizes product development, design will be the differentiator. But what exactly does “good” look like, and what does it mean for our craft? Four Figma designers weigh in.

NLNoah Levin·June 26, 2024AI & ML
AI & ML — What is minimum viable data?

What is minimum viable data?

As many focus on the possibilities and limitations of AI tools and their output, Ovetta Sampson reminds us to pay attention to the power of the input.

HLHerbert Lui·June 26, 2024AI & ML
AI & ML — Config 2024 in review

Config 2024 in review

We’re launching a redesigned Figma, Figma Slides, and a new suite of AI features, along with major updates to Dev Mode and usability improvements.

DFDylan Field·June 26, 2024AI & ML
AI & ML — Welcome to The Prompt

Welcome to The Prompt

AI promises to reinvigorate the way we design and build, but how we realize that potential is still an open question.

ABAmber Bravo·June 26, 2024AI & ML
AI & ML — Unlocking the power of unstructured data with RAG

Unlocking the power of unstructured data with RAG

Unstructured data holds valuable information about codebases, organizational best practices, and customer feedback. Here are some ways you can leverage it with RAG, or retrieval-augmented generation.

NCNicole ChoiNicole Choi·June 13, 2024AI & ML
AI & ML — How We Built Slack AI To Be Secure and Private

How We Built Slack AI To Be Secure and Private

At Slack, we’ve long been conservative technologists. In other words, when we invest in leveraging a new category of infrastructure, we do it rigorously. We’ve done this since we debuted machine learning-powered features in 2016, and we’ve developed a robust process and skilled team in the space. Despite that, over the past year we’ve been…

KMKelly Moran·April 18, 2024AI & ML