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Wie man auch GPT4-o1-preview noch ins Stolpern bringt

Es lässt sich darüber streiten, ob er früher oder später vor Erreichen des Ziels an eine gläserne Decke stoßen wird. Doch es ist kaum zu leugnen, dass mit einem neuen1 Ansatz rasante Fortschritte in Richtung einer allgemeinen Künstlichen Intelligenz (AGI) erzielt wurden. Diesen Ansatz kennt man unter verschiedenen Namen – bekannt geworden ist er vor allem unter dem Markennamen ChatGPT, allgemeiner auch unter Large Language Models (LLMs), generative artificial intelligence (genAI), oder auch autoregressive models (ARMs) oder eben – inzwischen von mir bevorzugt verwendet, weil der Multimodalität aktueller Modelle gerecht werdend – als Foundation Models (FMs). Erst kürzlich hat OpenAI mit o1-preview und o1-mini zwei neue Modelle für seine zahlenden Kunden (zu denen ich aufgrund meines Jobs zähle) zugänglich gemacht, die bei Aufgaben, mit denen Vorgängermodelle erhebliche Schwierigkeiten hatten, beachtliche Ergebnisse erzielen. Die Reflexion dieser Entwicklung passt recht gut zu einem Impulsvortrag, den ich vor kurzem für unseren Instituts-Retreat vorbereitet hatte, so dass ich hier gerne daran anknüpfen würde.

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Announcement: Summer School – Deep Learning for Language Analysis #7 (2024)

We are very pleased that we can once again offer a summer school in ‘Deep Learning for Language Analysis’. The Summer School will take place from 17 to 19 September and there will again be two parallel tracks on processing audio and text data. In the text track this year, the focus is more on LLMs and prompting. The programme will be complemented by two keynotes and a social in a brewery.

All important information about registration can be found in the Call for Participation below and on our website. If you want to get an impression of our former Summer School, you might find it in the blog post I wrote about the school in 2022.

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For the 6th year in a row: The Summer School Deep Learning for Language Analysis 2023

This year’s Deep Learning Summer School will take place at the University of Cologne from 11 to 14 September. Compared to the last years we have slightly adjusted the program in order to – besides an introduction to Deep Learning techniques applied to different data types (text and audio) – also give language analysis a fixed place in the school.

All important information about registration can be found in the Call for Participation below and on our website. If you want to get an impression of the 2022 Summer School, you might find it in the blog post I wrote last year about it.

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Finally, not just in front of the screen again: #DL4LASS 2022

In Cologne it feels like autumn has arrived and somehow fittingly our Summer School “Deep Learning for Language Analysis #DL4LASS” came to an end. In fact, we were able to celebrate the fifth edition of this event this year and we managed – after two online years – also to return to the University of Cologne campus. Since one always forgets the impressions so quickly, I would like to report briefly here on the rather entertaining – and hopefully also instructiveweek.

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Back at the Campus: Deep Learning for Language Analysis Summer School #DL4LASS 2022

After two online years, we have decided to hold the fifth edition of our Deep Learning Summer School in presence again. The call has just been published, you can find it below. Information on the previous years can be found here in the blog. Application deadline is June 24th. All information and how to apply can be found on our website.