AI fundamentals
4 articles on AI fundamentals from Ayoob AI, the full code AI automation agency based in Newcastle upon Tyne.
RAG vs Fine-Tuning: Which One Does Your Business Actually Need? (2026)
A plain-English guide to the real decision behind enterprise AI: do you retrain the model on your data, or let it look your data up? When to use retrieval, when to fine-tune, why you often do both, and what each means for keeping data private. As of 2026.
What Is a Small Language Model (SLM)? And When It Beats a Big One (2026)
A plain-English guide to small language models: what they are, why a smaller model is often the smarter choice for a specific business task, how they run on hardware you own, and when you still need a frontier model. As of 2026.
What Is a Vector Database? Semantic Search, Explained (2026)
A plain-English guide to vector databases and embeddings: how computers search by meaning instead of keywords, why a vector database is the engine behind RAG, the main options, and how keeping one on your own infrastructure keeps sensitive data private. As of 2026.
What Is AI Inference? Definition, How It Works, and the Cost That Matters
AI inference is running a trained model on new input to produce an output. A plain-English guide to what inference means, how it works, inference versus training, and why inference cost and latency decide the economics of production AI.
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