by Brandon AllenPlain-English writing on applied artificial intelligence: on-prem LLMs, RAG, fine-tuning and what AI can genuinely do for a business.
Forget the headlines about robots taking over. For a real Plymouth business, artificial intelligence is quieter and far more useful. Here's where it genuinely pays off, and where it doesn't.
Manchester is full of teams being sold AI transformation. Here's how to add real artificial-intelligence capability to a product or workflow without a black-box vendor or a six-figure gamble.
You don't have to send your data to OpenAI to use a capable language model. Here's what it takes to run LLMs on your own hardware, and why more businesses are choosing to.
A language model on its own makes things up. Wired to your documents with retrieval and citations, it doesn't have to. Here's how grounded AI actually works.
Two of the most-confused tools in applied AI. They solve different problems, and picking the wrong one wastes money. A plain-English guide to choosing.
You don't need a data centre to serve a capable model. Here are the levers that turn one GPU into a fast, cost-efficient inference server.
Renting intelligence by the token is easy to start and hard to stop. A look at when owning your AI infrastructure beats paying a meter forever.
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by Brandon Allen