Machine learning (ML) is revolutionising various industries and applications, ranging from healthcare and finance to self-driving cars and fraud detection. However, deploying ML systems in production environments is challenging due to various factors, such as technical debt and the lack of production readiness. Technical debt is an ongoing concern for

The advent of extremely large language models, such as ChatGPT (with 20 billion parameters) and GPT-3 (with 175 billion parameters), has revolutionized the field of natural language processing. These models are trained on vast amounts of data and exhibit remarkable performance in text understanding and generation. Thanks to their ability

Secrets Management is an important aspect of software engineering. This article will highlight the why and what of the problem and reason about the different solutions that exist.