this post was submitted on 09 Nov 2023
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Machine Learning

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I'm a data engineer who somehow ended up as a software developer. So many of my friends are working now with the OpenAI api to add generative capabilities to their product, but they lack A LOT of context when it comes to how LLMs actually works.

This is why I started writing popular-science style articles that unpack AI concepts for software developers working on real-world application. It started kind of slow, honestly I wrote a bit too "brainy" for them, but now I've found a voice that resonance with this audience much better and I want to ramp up my writing cadence.

I would love to hear your thoughts about what concepts I should write about next?
What get you excited and you find hard to explain to someone with a different background?

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[โ€“] Jessynoo@alien.top 1 points 10 months ago (1 children)

Argumentation technologies. A whole sub-branch extending Fol and modal logics. See Java's Tweety or Argument Interchange Format. Again my early tests suggest LLMs are very good at building belief sets, running reasoners and interpreting their results in layman's terms.

[โ€“] pfaya@alien.top 1 points 10 months ago

Ah, you might find this interesting: https://compphil.github.io/truth/