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888 articles on AI & ML.

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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
AI & ML — Writing poems using LLama 2 on Workers AI

Writing poems using LLama 2 on Workers AI

Matthew and Michelle, co-founders of Cloudflare, published their annual founders’ letter today. The letter ends with a poem written by an AI running using Workers AI on Cloudflare’s global network.

JGJohn Graham CummingJohn Graham Cumming·September 27, 2023AI & ML
AI & ML — Cloudflare One for Data Protection

Cloudflare One for Data Protection

This blog announces Cloudflare One for Data Protection — our unified suite to protect data everywhere across web, SaaS, and private applications. Built on and delivered across our entire global network, Cloudflare One’s data protection suite is architected for the risks of modern coding and AI

JCJames ChangJames Chang·September 7, 2023AI & ML
AI & ML — Using Chakra execution traces for benchmarking and network performance optimization

Using Chakra execution traces for benchmarking and network performance optimization

Meta presents Chakra execution traces, an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. Chakra execution traces represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. In collaboration with MLCommons, we are seeking industry-wide

CWChris Wiltz·September 7, 2023AI & ML
AI & ML — Generating Real-Time Audio Sentiment Analysis With AI — Smashing Magazine

Generating Real-Time Audio Sentiment Analysis With AI — Smashing Magazine

In this article, Joas Pambou builds the tool to provide a sentiment score in **real-time** with enhanced user experience by providing multilingual support. You will use an OpenAI library called Whisper that transcribes audio files into text and detects the language, and Gradio, a UI framework, to establish the interface.

JPJoas PambouJoas Pambou·September 4, 2023AI & ML
AI & ML — Scaling the Instagram Explore recommendations system

Scaling the Instagram Explore recommendations system

Explore is one of the largest recommendation systems on Instagram. We leverage machine learning to make sure people are always seeing content that is the most interesting and relevant to them. Using more advanced machine learning models, like Two Towers neural networks, we’ve been able to make the Explore recommendation system even more scalable and […]

CWChris Wiltz·August 9, 2023AI & ML