Exploring the intersection of enterprise IT, machine learning, and practical AI — from service management to neural networks.
Cyril Parkinson, the British naval historian who gave us Parkinson’s Law, once observed that “work expands so as to fill the time available for its completion.” He was talking about …
Read more →I saw a statistic the other day that stopped me mid-scroll. It said that 78% of organisations have adopted AI in some form, but 74% report they’ve seen “minimal to no business …
Read more →In thinking about how to approach this post, I was conscious that it’s been quite some time since the last post in the series. The primary reason for this has been my attention being locked in with …
Read more →I know I promised we’d dive straight into Agentic AI in this post — and we will. But first, let’s ground ourselves with a practical example most enterprise teams will recognise. Imagine you’ve been …
Read more →We’ve now covered quite a few of the building blocks that sit inside an LLM. We’ve talked about tokens, tensors, embedding spaces, attention heads, MLPs, loss functions, and our muddy-shoes local …
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