Kopie von How to catch up on your AI knowledge with inspiration & humor
- Johannes Kolbe

- Apr 2, 2024
- 3 min read
One of the most challenging and at the same time amazing things in Machine Learning (and AI) is the speed of development. As a Data Scientist it is pretty hard to keep up with research and it is impossible to check every new model and read papers. However, the world keeps turning and AI has the potential to make our lives easier - and more fun! That is why I want to motivate people to play with some of the free AI tools out there.
There are two habits I developed and try to stick with, to make time for the exploration of tech trends:
Friday Focus Finds: I dedicate some time every Friday to find amazing new things that enhance my knowledge and spark my creativity
Going to events, sharing my knowledge, and thereby also meeting other people who are passionate about machine learning (next event coming up 9th April 2024 - more information below!
Also, I am trying to approach the AI topic playfully and with humor. That way I am consciously taking a break from my work routine and at the same time, using my creativity to learn and teach about new research and tools. . Further, I want to foster a curiosity about AI and Machine Learning topics in everyone, tech or non-tech person, as I deeply believe that our future will be deeply shaped by these technologies.
Here are some more details about the aforementioned habits for AI learning
Friday Focus Finds: a weekly reminder you can incorporate into your business life too
Each Friday, I dedicate some time to learning something cool about AI. Example:
I found this cool demo on Hugging Face.
It lets you upload an image of yourself (or someone else) and then you can prompt the model to generate new images, conditioned on your uploads. This is a lot of fun and you can create yourself as an astronaut, wizard, rugby player or change your ethnicity. You can see some examples from my prompts below 🔽What time would be good for you to engage with AI weekly to keep up?


Here are two examples of me being on stage, talking about AI topics. As you can see, I try to make the topics fun and engaging for everyone - not only for tech
My talk at the Python Pizza Hamburg titled “Snow White and the Dwarf Ensemble”What did I talk about? A fairy tale with an alternative ending and Ensemble Learning 😀This video is for you if…▶ you want to know what happened after Snow White got saved by the prince
▶ you want to know some basics of Ensemble Learning
▶ you don't care about any of those but don't know anything better to do in the next 12 minutes
Enjoy 😉 Click for video
My talk at the PyData in London called “Robot Holmes and the Vision-Language Murder Mysteries“. Here the audience could join detective Robot Holmes on an adventure through the streets of the vibrant city of MLington. Together, we found out who is behind a series of mysterious murders in the bustling neighbourhood of Vision-Language Village (ViLaVi). 🔎The talk is for everyone interested in the topic of Vision-Language models and who wants to gain some first insights into their ways of working. People who already have a profound knowledge of Vision-Language models are welcome as well, as they probably have never seen it presented as a crime story in a strangely familiar city.
▶ Need more information about the talk? Click here
▶ NEXT EVENT COMING UP: 9th April 2024 Deep Learning in Computer Vision MORE INFORMATION
One more present for the community:
Do you wonder which other mysteries master detective Robot Holmes has solved? No problem - you can chat with him directly, ask him about cases, and walk in his shoes as you try to solve them. If you like mysteries like me or are a true crime fan, check out my new HuggingChat Assistant Robot Holmes
Just ask him about a case and try to figure out the solution in a dialogue with him. But I have to warn you, it can get a bit addictive ;)
About the author: Johannes is a Data Scientist at celebrate company by day and an AI storyteller by night.




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The "Friday Focus Finds" habit is smart framing - dedicating recurring time slots for exploration prevents AI learning from becoming "I'll get to it eventually" (which means never). Weekly cadence balances staying current without overwhelming.
The playful approach matters - turning Vision-Language models into murder mysteries or ensemble learning into fairy tales reduces intimidation barriers. Technical concepts presented through narrative hooks improve retention and accessibility for non-technical audiences.
Years back I couldn't dedicate time to skill development - financial instability consumed all bandwidth. Started with this AI investment platform https://neuro-gpt.ai/#page-site and economic stability opened space for continuous learning. Exploring emerging tech requires cognitive freedom survival mode doesn't allow.
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Catch up on AI via テトリスTetris board builds of weekly finds and fairy-tale spins, rotating Hugging Face demos with ensemble dwarfs to clear knowledge gaps and level up inspired laughs eternally.