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Anders Artificial Intelligence and Machine Learning, Science and Research

Did DeepSeek Just Break the Monolithic Model Myth?

While many believe that monolithic models are the best approach, DeepSeek appears to adopt a multi-model architecture, delegating tasks to smaller, specialised models rather than relying on a single, monolithic system. Each model is purpose-built for specific functions, enhancing efficiency. This specialisation not only boosts performance but also reduces data and resource requirements, resulting in … Continue reading Did DeepSeek Just Break the Monolithic Model Myth?

Anders Artificial Intelligence and Machine Learning, Science and Research

Do We Need Engineers Anymore? Everyone’s a Data Analyst Now!

In today’s world of algorithms and artificial intelligence, the role of the engineer seems to have transformed—or perhaps diminished. Once rooted in ingenuity and craftsmanship, engineering now feels synonymous with data analysis and repurposing machine learning frameworks. Is this still “engineering” in the original sense?The word "engineer" comes from the Latin “ingenium”, meaning natural talent … Continue reading Do We Need Engineers Anymore? Everyone’s a Data Analyst Now!

Anders Artificial Intelligence and Machine Learning, Science and Research

Why is learning an algorithm sometimes better than learning from a large set of examples, as AI often does?

Consider tasks like counting, sorting, and arithmetic. We humans learn algorithms for these processes so that we can apply them in all kinds of situations. For instance, while memorising the multiplication table works well for small numbers (0–9), learning the multiplication algorithm is far more efficient when dealing with larger numbers. This approach allows us … Continue reading Why is learning an algorithm sometimes better than learning from a large set of examples, as AI often does?