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907 articles on AI & ML.

11,892 articles
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
AI & ML — The AI Dilemma In Graphic Design: Steering Towards Excellence In Typography And Beyond — Smashing Magazine

The AI Dilemma In Graphic Design: Steering Towards Excellence In Typography And Beyond — Smashing Magazine

AI promises a major upheaval in typography, with designers finding themselves navigating both opportunities and challenges. How will it impact quality, design roles, and our use of type in the future? As we explore this new frontier, we realise that we are at a juncture as significant as Gutenberg’s press, set to redefine how we interact with text and visual communication.

FPFilip Paldia Jamie ClarkeFilip Paldia Jamie Clarke·January 23, 2024AI & ML
AI & ML — How we built it: Smart Retries

How we built it: Smart Retries

How Stripe built Smart Retries, which predicts the optimal time to retry a failed payment using machine learning algorithms trained on billions of data points across the Stripe network.

KCKiran ChandranKiran Chandran·January 23, 2024AI & ML
AI & ML — A developer’s second brain: Reducing complexity through partnership with AI

A developer’s second brain: Reducing complexity through partnership with AI

As we look to empower developers with AI tools, we inadvertently integrate AI deeper into the way developers work. How do developers feel about that? And what are the most impactful ways to introduce more AI into workflows? We recently conducted 25 in-depth interviews with developers to understand exactly that.

EKEirini KalliamvakouEirini Kalliamvakou·January 17, 2024AI & ML
AI & ML — How Meta is advancing GenAI

How Meta is advancing GenAI

What’s going on with generative AI (GenAI) at Meta? And what does the future have in store? In this episode of the Meta Tech Podcast, Meta engineer Pascal Hartig (@passy) speaks with Devi Parikh, an AI research director at Meta. They cover a wide range of topics, including the history and future of GenAI and the most […]

CWChris Wiltz·January 11, 2024AI & ML
AI & ML — Recursive Embedding and Clustering

Recursive Embedding and Clustering

TL;DR Large sets of diverse data present several challenges for clustering, but through a novel approach that combines dimensionality reduction, recursion, and supervised machine learning, we’ve been able to obtain strong results. Using part of the algorithm, we’re able to obtain a greater understanding of why these clusters exist, allowing user-researchers and data scientists to refine, improve,

GPGustavo Pereira, Sr. Data Scientist·December 1, 2023AI & ML
AI & ML — Watch: Meta’s engineers on building network infrastructure for AI

Watch: Meta’s engineers on building network infrastructure for AI

Meta is building for the future of AI at every level – from hardware like MTIA v1, Meta’s first-generation AI inference accelerator to publicly released models like Llama 2, Meta’s next-generation large language model, as well as new generative AI (GenAI) tools like Code Llama. Delivering next-generation AI products and services at Meta’s scale also […]

CWChris Wiltz·November 15, 2023AI & ML
AI & ML — An Actionable And Reliable Usability Questionnaire With Only 7 Items: Inuit — Smashing Magazine

An Actionable And Reliable Usability Questionnaire With Only 7 Items: Inuit — Smashing Magazine

Inuit (short for “**In**terface **U**sability **I**nstrumen**t**”) is a new questionnaire you can use to assess the usability of your user interface. It has been designed to be more diagnostic than existing usability instruments like, e.g., SUS and for use with machine learning, all the while asking fewer questions than other questionnaires. This article explores how and why Inuit has been develop

MSMaximilian Speicher Johanna JagowMaximilian Speicher Johanna Jagow·October 26, 2023AI & ML