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936 articles on AI & ML.

11,739 articles
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
AI & ML — Optimizing RTC bandwidth estimation with machine learning

Optimizing RTC bandwidth estimation with machine learning

Bandwidth estimation (BWE) and congestion control play an important role in delivering high-quality real-time communication (RTC) across Meta’s family of apps. We’ve adopted a machine learning (ML)-based approach that allows us to solve networking problems holistically across cross-layers such as BWE, network resiliency, and transport. We’re sharing our experiment results from this approach, some

CWChris Wiltz·March 20, 2024AI & ML
AI & ML — Building Meta’s GenAI Infrastructure

Building Meta’s GenAI Infrastructure

Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters. We are sharing details on the hardware, network, storage, design, performance, and software that help us extract high throughput and reliability for various AI workloads. We use this cluster design for Llama 3 training. We are strongly committed to open […]

CWChris Wiltz·March 12, 2024AI & ML
AI & ML — How AI code generation works

How AI code generation works

Explore the capabilities and benefits of AI code generation, and how it can improve the developer experience for your enterprise.

JRJeimy RuizJeimy Ruiz·February 22, 2024AI & ML
AI & ML — Monitoring machine learning models for bot detection

Monitoring machine learning models for bot detection

We recently shared an introduction to Cloudflare’s approach to MLOps, which provides a holistic overview of model training and deployment processes at Cloudflare. In this post, we will dig deeper into monitoring, and how we continuously evaluate the models that power Bot Management

DMDaniel MeansDaniel Means·February 16, 2024AI & ML
AI & ML — Engineering Practices for LLM Application Development

Engineering Practices for LLM Application Development

LLM engineering involves much more than just prompt design or prompt engineering. In this article, we share a set of engineering practices that helped us deliver a prototype LLM application rapidly and reliably in a recent project. We'll share techniques for automated testing and adversarial testing of LLM applications, refactoring, as well as considerations for architecting LLM applications and r

DTDavid Tan and Jessie Wang·February 13, 2024AI & ML
AI & ML — Introducing AI Integrations on Vercel

Introducing AI Integrations on Vercel

Vercel's AI Integrations and AI SDK connect your frontend to leading AI providers for text, image, and audio models, making it easy to build streaming chatbots, RAG systems, and generative experiences in Next.js.

VVercel·February 8, 2024AI & ML
AI & ML — LangChain Support for Workers AI, Vectorize and D1

LangChain Support for Workers AI, Vectorize and D1

During Developer Week, we announced LangChain support for Cloudflare Workers. Since then, we’ve been working with the LangChain team on deeper integration of many tools across Cloudflare’s developer platform and are excited to share what we’ve been up to

RKRicky, KristianRicky, Kristian·January 31, 2024AI & ML
AI & ML — Improving machine learning iteration speed with faster application build and packaging

Improving machine learning iteration speed with faster application build and packaging

Slow build times and inefficiencies in packaging and distributing execution files were costing our ML/AI engineers a significant amount of time while working on our training stack. By addressing these issues head-on, we were able to reduce this overhead by double-digit percentages. In the fast-paced world of AI/ML development, it’s crucial to ensure that our […]

CWChris Wiltz·January 29, 2024AI & ML