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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[–] OriginalUser99@alien.top 1 points 10 months ago

Multi-model systems. Very new and trending in cv and nlp. Personally i want to see reinforcement learning added to this. I believe that would be the first step towards simple AGI. Self-Supervised learning from experience with a zero-shot aspect. If i get offered a Ph.d fellowship i might look into that. But im trying to learn multi-modal systems right now.