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What a large language model actually predicts
What a large language model actually predicts
12/09/2026 — admin@byqreal.test

A model does not look anything up and does not decide what is true. It estimates which token comes next. Almost everythi...

Why temperature changes the answer, not the knowledge
Why temperature changes the answer, not the knowledge
08/09/2026 — admin@byqreal.test

Turning temperature down does not make a model more accurate. It makes it more repeatable — and confusing the two is how...

Training, fine-tuning and prompting are three different tools
Training, fine-tuning and prompting are three different tools
04/09/2026 — admin@byqreal.test

Teams reach for fine-tuning when they need context, and for prompting when they need behaviour. Knowing which problem ea...

Why models hallucinate, and what actually reduces it
Why models hallucinate, and what actually reduces it
31/08/2026 — admin@byqreal.test

Hallucination is not a glitch that a better model will one day remove. It is what generation does when it has nothing to...

System prompts: the instructions the user never sees
System prompts: the instructions the user never sees
29/08/2026 — admin@byqreal.test

A system prompt sets the rules for everything that follows. Written well it is the cheapest quality improvement availabl...

Structured output beats parsing prose
Structured output beats parsing prose
27/08/2026 — admin@byqreal.test

If your code needs a value from a model, ask for JSON and validate it. Regexing an answer out of a paragraph is a bug wa...

Choosing between a large model and a small one
Choosing between a large model and a small one
25/08/2026 — admin@byqreal.test

Most production traffic does not need the largest model available. Routing by task rather than defaulting to the top of...

An agent is a loop, not a personality
An agent is a loop, not a personality
23/08/2026 — admin@byqreal.test

Strip away the branding and an agent is a small loop: call the model, run the tool it asked for, feed the result back, r...

Tool calling is an API contract the model can read
Tool calling is an API contract the model can read
21/08/2026 — admin@byqreal.test

A tool definition is documentation with a schema attached. Write it for a capable colleague who has never seen your syst...

Why agents fail on long tasks
Why agents fail on long tasks
19/08/2026 — admin@byqreal.test

An agent that handles five steps beautifully can fall apart at twenty. The reason is rarely reasoning — it is that the c...

When a workflow beats an agent
When a workflow beats an agent
15/08/2026 — admin@byqreal.test

If you already know the steps, do not ask a model to rediscover them on every request. A fixed pipeline with model calls...

What an AI agent can actually do with a design system
What an AI agent can actually do with a design system
13/08/2026 — admin@byqreal.test

Given a real design system, a model stops inventing interfaces and starts assembling them. The difference is not the mod...