Industry 4.0 represents a significant leap forward in manufacturing, marked by interconnected systems, data exchange, and smart automation. Central to this transformation are two crucial concepts: the automation stack and the Industrial Internet of Things (IIoT). These two ideas are…
In the world of Industry 4.0, two prominent communication protocols stand out—OPC (OLE for Process Control) and MQTT (Message Queuing Telemetry Transport). While they are often compared, these protocols are not competitors; instead, they serve different roles in industrial automation…
The manufacturing industry is undergoing a significant transformation due to Industry 4.0, where digital technologies such as the Industrial Internet of Things (IIoT), automation, and data analytics are reshaping operations. At the core of this transformation lie two critical systems:…
As the world steps deeper into Industry 4.0, the integration of advanced technologies like AI is redefining the landscape of manufacturing, logistics, and industrial operations. The transformative potential of AI is evident, not just in predictive maintenance, but also in…
Large Language Models (LLMs) are powerful tools that can generate detailed and insightful responses when prompted correctly. Writing effective prompts is essential to unlocking their full potential, and it requires an understanding of how these models function at a fundamental…
The field of large language models (LLMs) has advanced rapidly over the past few years. However, there’s a world of difference between a cool demo and a reliable, scalable LLM product. In this article, I’ll blend lessons from the practices…
Building and deploying Large Language Model (LLM) applications for production environments in 2024 involves selecting the right technologies, frameworks, and tools. Based on our experience working on various LLM-based projects—from Retrieval-Augmented Generation (RAG) to agent-driven systems—this guide walks through the…
