{"id":349,"date":"2025-07-01T15:49:38","date_gmt":"2025-07-01T15:49:38","guid":{"rendered":"https:\/\/yu-ki.org\/?p=349"},"modified":"2025-07-11T14:08:03","modified_gmt":"2025-07-11T14:08:03","slug":"glossar","status":"publish","type":"post","link":"https:\/\/yu-ki.org\/en\/2025\/07\/01\/glossar\/","title":{"rendered":"Glossary"},"content":{"rendered":"

The glossary explains the most important terms relating to artificial intelligence - briefly, clearly and to the point.<\/h3>\n\n\n\n

A<\/mark><\/h2>\n\n\n\n
\n
\n
Algorithm<\/strong><\/td>A series of rules or steps to solve a problem.<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

B<\/mark><\/h2>\n\n\n\n
Bias<\/strong><\/td>Distortions that can arise from unrepresentative or biased data in AI models.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

D<\/mark><\/h2>\n\n\n\n
Data set<\/strong><\/td>A collection of data used to train or test AI models.<\/td><\/tr>
Deep learning<\/strong><\/td>Specialized area of machine learning based on deep neural networks.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

M<\/mark><\/h2>\n\n\n\n
Machine Learning<\/strong><\/td>Sub-area of AI in which algorithms learn from data.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

N<\/mark><\/h2>\n\n\n\n
Natural Language Processing<\/strong><\/td>AI field that deals with the processing and analysis of natural language.<\/td><\/tr>
Neural network<\/strong><\/td>Model inspired by the human brain, which is used for data processing.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

O<\/mark><\/h2>\n\n\n\n
Overfitting<\/strong><\/td>Problem where a model fits the training data too accurately but performs poorly on new data.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

P<\/mark><\/h2>\n\n\n\n
Prompt<\/strong><\/td>An input or instruction given to an AI model such as ChatGPT to obtain a desired response. Can consist of text, questions, commands or context and controls how the AI responds or what information it provides.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

S<\/mark><\/h2>\n\n\n\n
Speech-to-Text (STT)<\/strong><\/td>Refers to the technology that converts spoken language into written text. It is used, for example, in speech recognition systems, digital assistants or transcription services.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

T<\/mark><\/h2>\n\n\n\n
Text Simplification<\/strong><\/td>Refers to the process of converting a complex text into a simpler, easier-to-understand version. Difficult words, long sentences or complex structures are simplified without changing the original content or meaning.<\/td><\/tr>
Text-to-Speech (TTS)<\/strong><\/td>Refers to the technology that converts written text into spoken language. It is used, for example, in voice assistants, navigation systems or reading apps.<\/td><\/tr>
Training<\/strong><\/td>The process by which an AI model learns from data.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

Das Glossar erkl\u00e4rt die wichtigsten Begriffe rund um K\u00fcnstliche Intelligenz \u2013 kurz, verst\u00e4ndlich und auf den Punkt. A Algorithmus Eine Reihe von Regeln oder Schritten zur L\u00f6sung eines Problems. B Bias Verzerrungen, die durch nicht repr\u00e4sentative oder voreingenommene Daten in KI-Modellen entstehen k\u00f6nnen. D Datensatz Eine Sammlung von Daten, die zum Trainieren oder Testen von […]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[],"class_list":["post-349","post","type-post","status-publish","format-standard","hentry","category-allgemeines"],"_links":{"self":[{"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/posts\/349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/comments?post=349"}],"version-history":[{"count":23,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/posts\/349\/revisions"}],"predecessor-version":[{"id":506,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/posts\/349\/revisions\/506"}],"wp:attachment":[{"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/media?parent=349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/categories?post=349"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yu-ki.org\/en\/wp-json\/wp\/v2\/tags?post=349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}