engblogs

A blogpost about solving complex and demanding marketing automation challenges at scale.

Managing data in ChatGPT is easier with the new feature that allows users to turn off chat history and selectively choose conversations for model training.

This blog post discusses the approach to building a fully automated solution that finds and explains anomalies in a large scale unsupervised model anomaly detection system.

Drawing from philosophy to identify fair principles for ethical AI

The blogpost discusses how Fly.io can be used to run fullstack applications with JavaScript frameworks, focusing on Node.js and the challenges of choosing frameworks, package managers, and alternatives. It introduces the concept of using 'package.json' to build baseline Dockerfiles for different frameworks. It also showcases the 'dockerfile-node' project that generates Dockerfile and provides instructions for deploying on Fly.io. The post mentions the success and ongoing work for different frameworks, and highlights the future plans for integration with fly launch and customization options.

This blogpost discusses how teams at The New York Times implemented dark mode functionality in their news apps, including the challenges faced, the creation of a core color system, and the cross-organizational effort required for implementation.

Introducing new tools to start, run, and manage an Instant Payouts program for platforms and marketplaces with faster integration process and streamlined monetization.

Exploring the integration of human values into artificial intelligence and addressing the questions of selection and guidance behind AI's value system.

Using Hosta a.i. technology, property assessments can be generated easily by taking pictures.

This blogpost is about building a large scale unsupervised model anomaly detection system - Part 1, focusing on distributed profiling of model inference logs.

AI for banking in the era of ChatGPT: How top US banks are leveraging Snorkel AI to accelerate AI development, reduce costs, and unlock new initiatives in the finance industry.

Announcing the formation of Google DeepMind to accelerate progress in AI and develop more capable and responsible AI systems.