LEARNING RESOURCES
AI learning resources:
practical guides.
Explore clear explanations, practical workflows, funding information and training decisions related to AI and the changing workplace.
Prompting vs RAG vs Fine-Tuning: Which One Should You Use?
When to improve the prompt, add your documents or retrain the model.
7 min read
Tokens and Context Windows Explained: Why AI Forgets and What It Costs
Why AI tools forget in long chats and how tokens drive cost.
7 min read
What Is AI Governance? A Starting Guide for Organisations
What AI governance is and how an organisation can start small.
7 min read
What Is AI Hallucination, and How Do You Reduce It?
Why AI states false things confidently and how to catch it.
7 min read
What Is AI Verify, and Who Is It For?
What AI Verify checks, how it works and who it is designed for.
7 min read
What Is an LLM (Large Language Model)? A Plain-English Guide
What a large language model is, how it works and where it fails.
7 min read
What Is an SLM (Small Language Model), and When Is Small Better?
What a small language model is and when it beats a larger one.
6 min read
What Is ISO/IEC 42001? The AI Management System Standard Explained
What the AI management system standard covers and how it fits in.
7 min read
What Is MCP (Model Context Protocol), and Why Does It Matter?
How MCP connects AI applications to tools and data in a standard way.
7 min read
What Is RAG (Retrieval-Augmented Generation)?
How RAG lets an AI assistant answer from your own documents.
7 min read
AI Training for SMEs and Employers
How SMEs can plan, choose and follow up on AI training.
8 min read
Build AI Apps Without Coding: A Practical Guide
A guide to building, testing and using AI apps responsibly.
9 min readSTART HERE
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