A talk given at the GraML Conference 2024 in Graz, Austria. The talk discusses how AI is used in the context of observability, as implemented in the Dynatrace offering.

Seven predictions for future LLMs Large language models (LLMs) may already appear like coming from the future - but the fact is that in many ways they are still very rough and achieve some of their amazing performance via brute force: more computing power, more training data, bigger models. LLMs of the future will look quite different, and below I will make seven predictions about future developments. All seven aspects are already heavily researched and are partially already surfacing in recent LLMs, and may arrive sooner than you think - the majority perhaps already in 2024.

There are several websites that let you use Stable Diffusion to generate pictures with just a text prompt. Stable Diffusion Online is one example. However, they either charge you money, have a long waiting list, or offer a very limited number of options (e.g., for the image size). Did you know that you can set up and run your own version of Stable Diffusion in just two minutes? All you need is a Google account and you are good to go.

Are large language models used in commercial products? Fooling around with ChatGPT is a lot of fun, and if we believe the news then by now it does most of the homework assigned to students. However, like most things large language models (LLMs) are not going to stay unless someone figures out how to make money with them - and clearly, this has already happened: a lot of companies have adopted ChatGPT in their products, substantiating that while LLMs are in a hype phase at the moment they already produce actual value (and profit).

This image is based on pictures created with Stable Diffusion Web What does Generative AI do? Generative Artificial Intelligence (GenAI) uses a machine-learning model which can generate content. Popular modalities of GenAI content are: text: summaries, answers, novels, poems, computer code images: paintings, graphs, sequences of images (called videos), 3D models audio: speech, music molecules: proteins, drugs Okay, but how does it work? Until the early 2020s, almost every practical AI application was using a so-called discriminative model: It was trained to predict a label (e.

Blog post originally published here about research presented at Interspeech 2022 (South Korea).

A few videos shot during my time at the High Energy Physics Institute at the Austrian Academy of Sciences, explaining what particles and mass are, and what the Higgs boson actually is. These two short videos have been produced for an exhibition at the Vienna Museum of Natural History: This one was done for the High Energy Physics Institute website (unfortunately only in German):