Blog posts
- Dec 16, 2024 — Contextual Artificial Intelligence — Presentation at aiGrunn 2024
- Apr 16, 2024 — AI for constructive transformation
- Jan 28, 2024 — Embedded AI, non-agents and the AI/Poem clock
- May 25, 2023 — Confabulations or Hallucinations?
- May 9, 2023 — Chat vs traditional UI
- May 6, 2023 — Google has no moat?
- Mar 24, 2023 — Fuzzy API connectors, or how to connect LLMs to other tools
- Feb 22, 2023 — Linux iptables and docker
- Feb 14, 2023 — ChatGPT and humans act as GANs
- Feb 10, 2023 — Prompt security and "jailbreaking"
- Feb 7, 2023 — Why explainable AI might be useful for you
- Feb 2, 2023 — Training a language model on a single GPU in one day
- Jan 31, 2023 — A parable of an elephant and Random Forests
- Jan 24, 2023 — Metrics are key when trying to optimise a model
- Jan 19, 2023 — NanoGPT
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About me
I am an experienced Machine Learning engineer & manager with a strong focus on applying AI to real-life problems. Experience in Natural Language Processing (NLP), Computer Vision (CV) and time series analysis. I value the power of feedback at different levels in a system (on a technical level, on a process level and on a human level). In my PhD thesis, I defended that humans should have an important role in the machine learning loop. Check my opinions on this in the aiGrunn podcast!
Research
If you are interested in my research on search engines for historical handwritten manuscripts, please take a look at my research page