IntermediatePractical Applications
AI robotics
AI robotics means robots steered by an AI model: they look through cameras, take a task in plain words and work out the movements themselves, without a fixed program.
AI Dictionary
Practical Applications
Glossary of AI concepts, explained simply
18 concepts
Practical Applications
18 concepts
Intermediate
IntermediatePractical Applications
GraphRAG
GraphRAG has an AI model first map the people, organisations and places in your documents and their links, so it can answer questions that span many documents.
IntermediatePractical Applications
MLOps
MLOps is the work of keeping AI models reliable after launch: tracking versions, watching whether predictions still hold and updating models without breaking things.
IntermediatePractical Applications
Knowledge graph
A knowledge graph stores facts as a network of things and their relationships, so software can follow the links; Google uses one for the boxes in its search results.
BeginnerPractical Applications
System prompt
A system prompt is the standing instruction a business gives its AI assistant: who it is, what it may do and how it answers, before any customer types a word.
BeginnerPractical Applications
AI API
An AI API lets your own software use an AI model from a provider such as OpenAI or Anthropic over the internet, so you pay per use and run no model yourself.
IntermediatePractical Applications
Chain-of-thought prompting
Chain-of-thought prompting asks an AI model to write out its steps before it answers, which helps with sums and other questions that take several steps.
IntermediatePractical Applications
Edge AI
Edge AI runs an AI model on the device itself, such as a phone or camera, so data stays local, it works offline and there is no fee per request.
AdvancedPractical Applications
Embodied AI
Embodied AI is AI with a body, such as a robot, that learns by seeing and acting in the physical world or a simulation instead of from text alone.
BeginnerPractical Applications
Few-shot prompting
Few-shot prompting means showing an AI model a few examples of what you want inside your instruction, so it follows the pattern without extra training.
BeginnerPractical Applications
Generative engine optimization (GEO)
GEO is the work of getting your website quoted, with a link, in the answers that AI tools such as ChatGPT and Google's AI Overviews write.
IntermediatePractical Applications
Grounding in AI
Grounding means an AI model bases its answer on sources you provide, such as your own documents or a web search, so you can check where the answer comes from.
IntermediatePractical Applications
In-context learning (ICL)
In-context learning lets an AI model pick up a task from the examples and instructions in your prompt, without retraining; afterwards the model forgets them.
BeginnerPractical Applications
Prompt engineering
Prompt engineering is writing instructions for AI tools such as ChatGPT so they do a task well: say what you want, give an example and test on real cases.
IntermediatePractical Applications
Semantic search
Semantic search finds results by what a query means instead of by its exact words, so customers and colleagues find the right page when they use their own words.
IntermediatePractical Applications
Structured output
Structured output makes an AI model fill in a fixed form, such as supplier, date and amount, instead of writing free text, so software can read the answer without retyping.
IntermediatePractical Applications
Semantic training gap
The semantic training gap means an AI model knows the words of your trade but not your company's own codes and names, so it fills in plausible but wrong details.
BeginnerPractical Applications
Zero-shot prompting
Zero-shot prompting means giving an AI model a task with just an instruction and no examples; it is the quickest place to start, and examples can follow if needed.