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AI305: Extraction and Transformation of Information with AI

Training: Artificial Intelligence

Developers and IT professionals learn the practical use of AI for information extraction and transformation. The course covers knowledge extraction, text compression and compilation, as well as automated document creation in PDF or DOCX. It addresses use cases such as scientific analyses and regulatory publications to increase efficiency and save time.

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Appointments in German language


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Possible course languages: German

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Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

Introduction and fundamental architecture

Utilization of large language models such as OpenAI and Aleph Alpha API (Completion, Summarization etc.) and Python

Data ingestion from different formats and chunking strategies

Text compression techniques

Text compilation techniques: transforming information into a format such as a report

Export to desired format such as PDF or docx

Discussion of use cases and strategies for effective deployment of AI-based information transformation in practice

Objectives:

Learn fundamental architecture and requirements, utilize large language models and Python, read data from different formats, prompting techniques for text compression and text compilation, export to desired formats.

Target audience:

Developers
IT Professionals

Prerequisites:

AI200 Introduction to Python for Data Science and AI (alternatively basic knowledge in Python)
AI250 Introduction to Prompt Engineering for Developers
AI255 Introduction to Large Language Models and their Integration

Description:

Knowledge is power, but time is also money. In many digitized professions, it is a core task to process and evaluate knowledge or information. A knowledge advantage can make the decisive difference between success or failure, but is often dearly bought. In the workshop AI305 Extraction and Transformation of Information with AI you learn how to capture more relevant information in less time using large language models.

This involves not only the generation of summaries, but also the further utilization of the obtained information e.g. for automated creation of documents in different target formats. Use cases include e.g. analyzing scientific or regulatory publications, and the transfer of the information into target documents such as an article or a management summary. The course covers techniques for knowledge extraction, text compression and compilation as well as export to desired formats such as PDF and docx.

We recommend additional participation in the content-related module AI300 Extraction and Structuring of Data with AI.