Operations | Monitoring | ITSM | DevOps | Cloud

APIs (Application Programming Interfaces) have been around for decades, but although the concept emerged as far back as the 1940s, it wasn’t until the early 2000s and the efforts of eBay, Salesforce, and Amazon that really put them on the map. APIs today are ubiquitous - any company developing software will likely have an API for customers and partners - and research suggests the majority of enterprises consuming APIs are focused on strategies for easier consumption and management of APIs.

Large Language Models (LLMs) have emerged as a powerful force capable of reshaping industries across the board. From small startups to multinational corporations, organizations are actively experimenting with LLMs, recognizing their potential to disrupt the market. This blog explores the predictions from major industry leaders regarding the future of LLMs and provides insights on how businesses can leverage this technology to gain a competitive edge.

Victor Sonck is a Developer Advocate for ClearML, an open source platform for Machine Learning Operations (MLOps). MLOps platforms facilitate the deployment and management of machine learning models in production. As most machine learning engineers can attest, ML model serving in production is hard. But one way to make it easier is to connect your model serving engine with the rest of your MLOps stack, and then use Grafana to monitor model predictions and speed.