Regardless of how much effort teams put into developing, training, and evaluating ML models before they deploy, their functionality inevitably degrades over time due to several factors. Unlike with conventional applications, even subtle trends in the production environment a model operates in can radically alter its behavior. This is especially true of more advanced models that use deep learning and other non-deterministic techniques.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. In this week’s edition, we’re going over how generative AI can help content creators improve the quality of the content they put out. ChatGPT’s release in November 2022 launched generative AI to the very forefront of the technological landscape. For a few months after that, it seemed like all people were talking about was generative AI (GenAI).

In the digital age, transparency and communication are key to customer satisfaction and operational efficiency, especially during downtime or degraded performance. This is where the importance of a status page comes into play, helping organizations effectively automate these communications, particularly through the use of status page APIs.

Earlier this month, I had the pleasure of traveling to Nuremberg, Germany to attend Embedded World. If you have not heard about it before, Embedded World1 is the largest trade show in the embedded systems industry. This year, over 35,000 people attended and 1,100 businesses exhibited at the Nuremberg Messe.

Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in ML model development than ever before.