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907 articles on AI & ML.

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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
AI & ML — Using Friction As A Feature In Machine Learning Algorithms — Smashing Magazine

Using Friction As A Feature In Machine Learning Algorithms — Smashing Magazine

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.

MPMaximillian PirasMaximillian Piras·August 7, 2023AI & ML
AI & ML — How To Use Artificial Intelligence And Machine Learning To Summarize Chat Conversations — Smashing Magazine

How To Use Artificial Intelligence And Machine Learning To Summarize Chat Conversations — Smashing Magazine

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

JPJoas PambouJoas Pambou·July 27, 2023AI & ML
AI & ML — A developer’s guide to prompt engineering and LLMs

A developer’s guide to prompt engineering and LLMs

Prompt engineering is the art of communicating with a generative AI model. In this article, we’ll cover how we approach prompt engineering at GitHub, and how you can use it to build your own LLM-based application.

AZAlbert Ziegler, John BerrymanAlbert Ziegler, John Berryman·July 17, 2023AI & ML
AI & ML — Building Boba AI

Building Boba AI

We are building an experimental AI co-pilot for product strategy and generative ideation called “Boba”. Along the way, we’ve learned some useful lessons on how to build these kinds of applications, which we’ve formulated in terms of patterns. These patterns allow an application to help the user interact more effectively with a Large-Language Model (LLM), orchestrating prompts to gain better result

FAFarooq Ali·June 29, 2023AI & ML
AI & ML — Using AI To Detect Sentiment In Audio Files — Smashing Magazine

Using AI To Detect Sentiment In Audio Files — Smashing Magazine

Dive into an article where you will build an app that evaluates audio files for positive and negative sentiments. The idea is that you will create an interface for uploading an audio file, then transcribe the contents into text before analyzing the text and assigning it a positive or negative score for how the tone is perceived.

JPJoas PambouJoas Pambou·June 22, 2023AI & ML
AI & ML — How to write better prompts for GitHub Copilot

How to write better prompts for GitHub Copilot

In this prompt guide for GitHub Copilot, two GitHub developer advocates, Rizel and Michelle, will share examples and best practices for communicating your desired results to the AI pair programmer.

RSRizel Scarlett, Michelle DukeRizel Scarlett, Michelle Duke·June 20, 2023AI & ML
AI & ML — Experimenting with Machine Learning to Target In-App Messaging

Experimenting with Machine Learning to Target In-App Messaging

At Spotify, we use messaging to communicate with our listeners all over the world. Our Messaging team powers and creates delightful foreground and background communications across the Spotify experience, experimenting with and tailoring the perfect journey for each user across our platform. Today we are able to send messages through WhatsApp, SMS, email, push notifications, contextual in-line form

EDEuan Dowers, Senior ML Engineer·June 1, 2023AI & ML
AI & ML — An example of LLM prompting for programming

An example of LLM prompting for programming

My account of an internal chat with Xu Hao, where he shows how he drives ChatGPT to produce useful self-tested code. His initial prompt primes the LLM with an implementation strategy (chain of thought prompting). His prompt also asks for an implementation plan rather than code (general knowledge prompting). Once he has the plan he uses it to refine the implementation and generate useful sections o

MFMartin Fowler·April 13, 2023AI & ML