Different methods from the field of NLP helped us to create a software that spots errors in legal contracts
dida developed an AI based algorithm to extract relevant information from authority documents
An image segmentation algorithm that supports sustainable city planning
By Emilius Richter • August 2nd, 2022
I present the best (Python) tools for remote sensing and processing of satellite data, based on our practical experience with them at dida. For some I provide application examples including code.
By Emilius Richter • July 18th, 2022
For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.
By Marty Oelschläger (PhD) • December 20th, 2021
I explain why language models tend to reproduce stereotypes and prejudices with potentially harmful consequences - and how to use them with care.
By Fabian Gringel • October 24th, 2021
Here I explain in which situations GPT-3 fails and why it is far from having proper natural language understanding, which approaches can help to mitigate these issues and might lead to the next breakthrough and what alternatives to GPT-3 there are already.
By Fabian Gringel • September 27th, 2021
In this blog article I will explain how GPT-3 works, why some people think it’s dangerous, and how you can try out a GPT-3-like model yourself for free.
By Fabian Gringel • June 21st, 2021
Contrastive Language-Image Pretraining (short: CLIP) makes use of image captions to train a zero-shot image classifier. In this blog article I will give a rough non-technical outline of how CLIP works, and I will also show how you can try CLIP out yourself!
By Moritz Besser • June 4th, 2021
In this blog article, I want to briefly describe the process of migrating labels from Planet Scope to Sentinel-2 images.