Artificial intelligence basics: Quality of data as a success factor (LLMs)
Kursmerkmale
- workspace_premium Teilnahmebescheinigung von TÜV Rheinland
- calendar_month Zugriffsdauer: Unbegrenzter Zugriff
- trending_up Kursniveau: Einsteiger
- timelapse Lernumfang: 0 Std. 30 Min.
- language Sprache: englisch
- fingerprint Kurskennung: b3ebkEWMYa
Kursübersicht
Über den Online-Kurs
Basic knowledge of artificial intelligence:
Timeliness and relevance of data as a success factor in the use of generative language models
For years, search engines were the preferred tool for finding relevant content on the internet. However, as chatbots have become more popular, traditional search services now face competition from AI-based systems that can understand and answer questions in natural language. The quality of the results largely depends on the timeliness and relevance of the data in the respective context. In this training unit, we will analyze various tools for obtaining and processing information in everyday work situations and highlight their respective strengths and limitations. You will acquire the knowledge and skills necessary to decide which approach is most suitable in each case.
Benefit
In this training course, you will learn all about the timeliness and relevance of data as a success factor when using generative language models.
Target group
This course is aimed at anyone who works with AI.
Learning Content
- Search vs. text generation
- Which tool suits the task?
- Do large language models have memory?
- The timeliness and relevance of data sets.
- Data quality as a success factor
- Case study
- Summary
- Quiz
Übersicht der Lerninhalte
Artificial intelligence basics: Quality of data as a success factor
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AI Basics: Quality of data as a success factor in the use of generative LLMsextension Interaktiver Inhalttimelapse 0 Std. 30 Min.
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