Machine learning teams today often want to process data in real-time. They also standardize on Python as a programming language. Apache Beam supports Python and gives a lot of hope, but my opinion is that this combination is practically too complex and unreliable to put in production.
[Read More]Implementation Notes on LLMs for the Enterprise Use-Case
Note: My blog posts are (still) 100% handwritten, without any contribution from an AI model.
Large language models (LLMs) are very powerful, as ChatGPT has demonstrated very successfully. In this post, I will document some caveats, tips and pointers if you are interested in utilizing an LLM for an enterprise use-case.
[Read More]Tutorial: Understanding Beam with a Local Beam, Flink and Kafka Environment
Barrett on the Human Brain
In the past, I have written here about the theory of psychology. One weak point about it is that it’s a lot of, well, theory. However, what if there was an underlying physical reality to it, i.e. to how our brains develop and work? I recently read two books by Lisa Feldman Barrett. I think she provides this much-needed connection.
[Read More]In Search of Lost Time
As the year 2021 draws to an end, it is a good time to write about In Search of Lost Time. I found a graphic novel adaptation of it and bought it for my fortieth birthday. The title seemed quite apt.
[Read More]Throwback Thursday: Daylight hours across time and location
Religion as a Salve for Existential Truths
A meditation on time and change
Throwback Thursday: Linux in the 2000s
Underrepresented Senses in the Electronic Age
There’s a disparity in how our smartphones and computers cater to our senses. They rely heavily on the eyes and the ears. What’s left out is touch, smell and taste. Not strictly a sense, but scale of size is another I would add to this list – it’s the difference between looking at a T. rex in a museum vs a TV documentary. These can be a differentiator for brick-and-mortar stores.
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