936 articles on AI & ML.
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.
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.
GitHub Copilot is widely known for its code generation feature. Learn how the AI assistant’s abilities can extend beyond just code generation.
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.
During the second cycle of Git Commit Uruguay, students learned the basics of AI and built their own AI-powered projects.
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 […]
All GitHub Copilot users can now enjoy natural language-powered coding with Copilot Chat at no additional cost.
Building on similar reports we’ve done over the past two years, we have compiled a ranking of the top Internet properties of 2023
Explore how to build AI features that users trust with insights from Product Managers at Figma, Duolingo, Asana, and LinkedIn.
This is what Cloudflare has been able to do so far with OpenBMC with respect to our GPU-equipped servers
Learn how we’re experimenting with generative AI models to extend GitHub Copilot across the developer lifecycle.
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,
Explore the July edition, featuring prompts, tips, and use cases for GitHub Copilot.
We're thrilled to announce that Stable Diffusion and Code Llama are now available as part of Workers AI, running in over 100 cities across Cloudflare’s global network.
Today we’re excited to announce that we’ve added the Mistral-7B-v0.1-instruct to Workers AI
Discover new AI-powered features and tools to help developers stay in the flow and organizations innovate at scale.
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 […]
Workers AI now supports streaming text responses for the LLM models in our catalog, including Llama-2, using server-sent events
In this year’s Octoverse report, we study how open source activity around AI, the cloud, and Git are changing the developer experience.
GitHub Universe 2023 is just around the corner! Join us and learn how GitHub is leveraging AI to empower all developers, including developers with disabilities.
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
Explore how LLMs generate text, why they sometimes hallucinate information, and the ethical implications surrounding their incredible capabilities.
From starting at GitHub over 10 years ago as a developer to becoming the Chief Operating Officer, I’ve learned that developers are often bellwethers for change across the rest of their organizations. That makes investing in—and learning from—them critical.
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
Olivia Wu, Meta’s Technical Lead for Infra Silicon, discusses the design and development of Meta’s first-generation AI inference accelerator. […]
Gain actionable insights about the intersection of AI and human skills, while tackling ethics, accessibility, and productivity at these GitHub Universe sessions.
Findings show that code quality is better across the board and developers felt more confident, too.
Discuss the concept of large language models (LLMs) and how they are implemented with a set of data to develop an application. Joas compares a collection of no-code and low-code apps designed to help you get a feel for not only how the concept works but also to get a sense of what types of models are available to train AI on different skill sets.
GitHub Copilot Chat can help you learn about accessibility and improve the accessibility of your code. In this blog, we share a sample foundational prompt that instructs GitHub Copilot Chat to become your personal AI assistant for accessibility.
Open source generative AI projects are a great way to build new AI-powered features and apps.
Need a recap or refresher on all the big Birthday Week news this week? This recap has you covered
For the past decade, Spotify has used approximate nearest-neighbor search technology to power our personalization, recommendation, and search systems.
Manage AI crawlers, out of the box with Cloudflare
We are excited to launch Workers AI - an AI inference as a service platform, empowering developers to run AI models with just a few lines of code, all powered by our global network of GPUs
AI Gateway helps developers have greater control and visibility in their AI apps, so that you can focus on building without worrying about observability, reliability, and scaling. AI Gateway handles the things that nearly all AI applications need
Today, we’re excited to announce that we are partnering with Hugging Face to make AI models more accessible and affordable than ever before to developers
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.
Cloudflare enables various AI applications. We asked AI companies using Cloudflare how they leverage our platform for their innovative projects.
GitHub Copilot Chat can help developers create prototypes, understand code, make UI changes, troubleshoot errors, make code more accessible, and generate unit tests.
All GitHub Copilot for Individuals users now have access to GitHub Copilot Chat beta, bringing natural language-powered coding to every developer in all languages.
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
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
The team behind GitHub Copilot shares its lessons for building an LLM app that delivers value to both individuals and enterprise users at scale.
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.
The CSS Color Module Level 4 specification defined a slew of new color features when it became a candidate recommendation in 2022, including Oklab and Oklch, which have widened the field of color we have to work with. Explore the Oklch color space and how to start using it in CSS today.
How GitHub Social Impact is working with nonprofit organizations, employees, and more to create positive, lasting change in global communities.
Watch 28 talented AI startups show off impressive demos in 3 minutes each as part of our AI Accelerator Demo Day.
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 […]
GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools.
Friction often has a negative connotation in user experience design, but it actually has many benefits. Its best-known use case is mitigating unintended consequences in high-risk scenarios, yet it has a new place in the age of artificial intelligence. Adding strategic friction to interfaces can lead to profound efficiency gains in machine learning algorithms.
Today, we’re announcing a private beta of GitHub Copilot with code referencing that includes a filter to detect code suggestions matching public code on GitHub.
John Maeda shares takeaways from this year’s Design In Tech Report, and why we should embrace uphill thinking in a world optimized for shortcuts.
In this post, learn how Shopify's Sidekick solves markdown rendering jank and response delay in LLM chatbots with buffering parser and async content resolution.
We’re thrilled to announce two major updates to GitHub Copilot code Completion’s capabilities that will help developers work even more efficiently and effectively.
In this article, we’ll explore how to build a chat summarizer using the Cohere API and deploy it as a web application using Gradio.[ Cohere](https://cohere.com/) is an AI platform that provides state-of-the-art natural language processing models for a variety of tasks, including summarization. We’ll cover the steps involved in training the summarizer using sample chat conversations, interacting wi
Sharing our coalition paper to inform the final negotiation of the EU AI Act.
In this step-by-step tutorial, you will learn how to use GitHub Copilot to build an application with OpenAI’s gpt-3.5-turbo model.
