Discover the World of LLMs und AI:

Lecture Series on AI and Large Language Models

Large language models are driving the current AI revolution. HIDA's Lecture Series on AI and LLMs will give you an insight into various facets of the topic.

Not only since the launch of ChatGPT, the use, development and implementation of AI and large language models has been of great interest to the scientific community.

For this reason, the Helmholtz Information & Data Science Academy (HIDA) is organizing a series of monthly lectures on these topics.

From basic technical knowledge about the systems and their impact on the scientific community to ethical issues that may arise from the use of AI and LLM, the lectures cover a wide range of topics.

All speakers are highly qualified scientists from the Helmholtz Association and its partners.

The upcoming lectures:

Ethical considerations on hate speech and AI, 18.04.2024

Contextualizing LLMs – What are the social and ethical implications?, 07.05.2024

 

Watch again: Past Lectures

The speaker: Jörg Pohle

The speaker: Jörg Pohle

Jörg Pohle is a postdoc and head of the research programme “Data, actors, infrastructures: The governance of data-driven innovation and cyber security” at the Alexander von Humboldt Institute for Internet and Society in Berlin.

Ally or Adversary: Examining the Impact of Large Language Models on Academics and Academic Work

Abstract:

This talk will analyse and present the impact of Large Language Models (LLMs) on science. Potential benefits and risks for the scientific system and the scientific profession will be discussed. Ethical issues and the role of LLMs in academic tasks will be highlighted using empirical data. In addition, the changing role of academics in the digital world will be discussed, including the datafication and quantification of academics and their institutions and future challenges.

The speaker: Jan Ebert

The speaker: Jan Ebert

Jan Ebert

Jan Ebert has studied Cognitive Informatics and Intelligent Systems at Bielefeld University. With high interest in deep learning and high-performance computing, he started to work at Jülich Supercomputing Centre as Software Engineer and Researcher Large-Scale HPC Machine and Deep Learning, supporting researchers in various domains to apply artificial intelligence (AI) techniques for their research and co-founding LAION, an open community for open AI projects.

ChatGPT's Backgrounds: Exploring the World of Large Language Models

Abstract

In this talk, various key aspects of training LLMs will be explained in detail. This includes discussions on the architecture of such models, the selection and fine-tuning of training data, and the challenges and approaches to dealing with large datasets and computational resources. Current research trends and methodological innovations in the field of LLM training will also be discussed.

In addition, various exemplary applications and possible uses of LLMs will be presented during the lecture. This includes applications in natural language processing, automatic text generation, translation, sentiment analysis and many more. Practical case studies and success stories from industry and research will also be presented to illustrate the versatility and potential of LLMs.

An important part of the presentation is the current state of the technology and an outlook for the future. Current developments and trends in LLM research and application will be highlighted and potential challenges and opportunities that could arise in the coming years will be discussed. Possible areas of application beyond the current range of applications will also be considered in order to take a look at future developments and innovations in the field of speech technology.

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