MLflow is an open source platform, used for managing machine learning workflows. It was launched back in 2018 and has grown in popularity ever since, reaching 10 million users in November 2022. AI enthusiasts and professionals have struggled with experiment tracking, model management and code reproducibility, so when MLflow was launched, it addressed pressing problems in the market. MLflow is lightweight and able to run on an average-priced machine.

Beautiful syntax-highlighted GraphQL errors are coming — get ‘em while they’re fresh! Not that we encourage you to add more errors of any kind to your code. But if you do, they’ll now look so much better in Sentry.

In the fast-paced world of software development, the ability to deliver and iterate quickly on APIs and microservices is essential. Traditional testing methods can be time-consuming and often slow down development cycles. That is where API and service mocking tools like Microcks can come to the rescue. Microcks shipped as a new community add-on for the recent MicroK8s 1.28 release. Microcks is a Cloud Native Computing Sandbox project dedicated to API mocking and testing tools on Kubernetes.

In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "reinforcement learning": I expect this definition would prompt many to ask, "What rewards can you give a machine learning agent?" A gold star? Praise? No, the short answer is: numerical values. In reinforcement learning, rewards are crucial for training agents to make decisions that maximize their performance in a given environment.

LogicMonitor’s Generative Intelligence Solution for IT Teams Cutting-edge generative technologies have revolutionized our industry, paving the way for fresh and innovative approaches to deliver interactive and actionable experiences. At LogicMonitor, we firmly believe in leveraging these generative techniques across our platform, offering a uniquely dynamic support system for various aspects of our end-user experience.

A little more than a month ago, we released the free Tracealyzer SDK – a toolkit that allows other embedded software vendors to integrate Tracealyzer recording in their own software. At that time, the development team at PX5 in California were already hard at work combining Tracealyzer with their PX5 RTOS, and yesterday they released the integration. Built with Percepio’s SDK, in a just a few weeks.

Dive into Speedscale’s API testing best practices, and learn more about testing methodologies and top 5 best API test tools in the market.