Machine Learning How do neural networks work?
Machine Learning

How do neural networks work?

Using one example throughout, predicting the price of a house, you see what a neuron actually does: weights, a bias, and an error that travels back through the network. No background needed, and by the end you understand why the same technique also recognises faces.

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RAG How does RAG work?
RAG

How does RAG work?

Why AI makes things up when you ask about your own organisation, and how RAG fixes it. In six steps from your own documents through chunks and embeddings to an answer you can trace back to your sources.

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Agentic AI What is agentic AI and what can it do?
Agentic AI

What is agentic AI and what can it do?

AI that does not just give answers, but carries out tasks independently. An introduction to agentic workflows and what they mean for organisations and professionals.

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Machine Learning + Neural networks How do recommender systems work?
Machine Learning

How do recommender systems work?

Netflix, Spotify, Amazon: they all use recommender systems. A clear explanation of how these algorithms analyse your behaviour and make recommendations.

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Speech recognition How does speech recognition work?
Speech recognition

How does speech recognition work?

From sound waves to words: a clear explanation of how speech recognition works, from acoustic models to modern AI systems such as Whisper.

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LLM What is an LLM, really?
LLM

What is an LLM, really?

Large language models are everywhere, but what do they actually do under the hood? A clear explanation of how LLMs work, from tokens and training to the way they generate text.

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Autonomous systems Which ones exist and what can they do? (n8n, Make, MS Power…)
Autonomous systems

Autonomous systems: which ones exist and what can they do? (n8n, Make, MS Power…)

An overview of tools for automating work processes without coding, from n8n and Make to MS Power Automate. What can they do, when do you use which, and how far does the autonomy reach?

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LLM Fine-tuning vs RAG
LLM

Fine-tuning vs RAG

Fine-tuning changes how a model sounds, RAG changes what it knows. A clear explanation of the difference, why "let's train a model on our company data" is usually the wrong plan, and the single question that tells you which one you need.

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