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From MLOps to LLMOps: The evolution of automation for AI-powered applications

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

Max Pagel, SensorFlow: Amplifying Advancement with AI

SensorFlow’s Co-Founder and CTO on using technology to do more with less and why the platform approach will always win Like many entrepreneurs, Pagel’s step into business was borne out of a desire to do things differently. His founder journey began in 2016 in Singapore — a place he still calls home today. While working as a research associate at a university, he became frustrated with the science ecosystem and how it all worked.

Does the Galaxy S24 Need a Case?

As you navigate through the twists and turns of life, much like driving a sleek sports car down a winding road, you cherish the exhilarating moments. But just as you wouldn't dare take that drive without proper protection, the same can be said for your Galaxy S24. While its stunning design and advanced features captivate, ponder if it's truly equipped to withstand life's unexpected bumps and drops.

Major Improvements Coming for Linux Users

Linux®-based operating systems are becoming increasingly common among software developers. A whopping 45 percent were using Linux in 2022, according to Statista, which is not far behind Windows. Over the last months we have been focusing on improving the Tracealyzer experience for Linux users and the upcoming v4.9 release will bring major improvements.