Generative AI
GenAI · generative KI
Models that produce new content — text, images, code, audio — instead of only classifying existing data.
01In short
Models that produce new content — text, images, code, audio — instead of only classifying existing data.
In productionThe demo is easy. The hard part starts when real users, real data and real costs arrive: evals, permissions, budgets.
02Video
slot · videoGenerative AI in 90 secondsadd: GUIDES['generative-ai'].video
03Guide
slot · guide
A step-by-step guide for “Generative AI” goes here. Suggested outline:
- What it is — in one paragraph
- Why it matters in production
- How to do it — 3 to 7 steps
- Pitfalls we see in the field
04Checklist
slot · checklist
Four to eight things a team can tick before go-live.
05FAQ
slot · FAQ
The three questions clients actually ask about “Generative AI”.
06Related terms
BasicsLLMA neural network trained on huge amounts of text to predict the next token. That simple objective produces models that write, summarise, translate and reason in language.BasicsHallucinationA fluent, confident answer that is wrong or made up. It is a property of how language models work, not a rare bug.BasicsFoundation modelA large model trained on broad data that many applications build on — through prompting, retrieval or fine-tuning. Most LLMs are foundation models.
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