Building reliable Agentic AI systems
Agentic AI moves beyond prompt-to-text. This article shows how LangGraph orchestrates stateful, feedback-driven workflows to turn news retrieval into a fact-checked, LinkedIn-ready post, with memory, conditional logic, and verification.
Bayes’ theorem and its role in AI
Bayes’ Theorem is more than a formula: it’s a way of updating what we believe when new evidence appears. From spam filters to medical diagnostics, it underpins many AI methods. In this post, we’ll see how machine learning uses Bayes to deal with uncertainty with both rigour and efficiency.
DeepSeek-R1: Another tall tale from China?
In this entry, we explore the key differences between the new DeepSeek-R1 model and the well-established OpenAI-o1, examining its architecture, energy consumption, and overall reliability.
The Turing test – AI and the future of work
In this blog entry, we explore the impact of artificial intelligence on the labour market following its successful passage of the Turing Test.
Origin and evolution of AI
Let’s skim the highlights of how artificial intelligence evolved into what we recognise today.