Learn AI
Learn AI — foundations and context
Terms first, then the news. Otherwise every story is just volume.
Language models, prompts, and limits explained clearly. deepdaive connects learning with current AI news and knowledge.
Path 01
Start
What a model does, what a prompt is, where hallucinations come from — without programming skills.
Path 02
Go deeper
Language models, training, context windows, and benchmarks explained so product news becomes intelligible.
Path 03
Apply
Write clearer tasks, check outputs, use AI as a study aid — not as a substitute for thinking.
Learning AI here does not mean collecting a certificate — it means understanding the terms that make news and products intelligible.
Learning paths
- Beginners — what a model does, what a prompt is, where hallucinations come from
- Language models — LLMs, training, context windows, benchmarks
- Prompting — clear tasks, context, checking the output
- For students — AI as a study aid, not a substitute for thinking
Practice over jargon
Every explanation stays with examples: how output changes when the task is more precise, and when numbers and sources need a separate check.
Read on
Current stories live under AI news. Longer background under AI knowledge.
Frequently asked questions
Do I need programming skills?
No. Learning pieces are written for a general German-speaking audience. Technical details are explained, not assumed.
Does this replace a course?
No. deepdaive offers orientation and foundations. Courses, papers, and documentation remain separate paths.
