Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

[D] What AI topics are you curious about but rarely see in the spotlight? (alien.top)

submitted 1 year ago by GratefullyFriendly73@alien.top to c/machinelearning@academy.garden

53 comments fedilink hide all child comments

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?

you are viewing a single comment's thread
view the rest of the comments

[–] FormerIYI@alien.top 1 points 1 year ago

How to make up optimal solution to highly Kolmogorov-complex problems. This is nearest thing I would call "human intelligence" and what I would want for massive AI breakthrough.

https://arxiv.org/abs/1911.01547 - Chollett's Abstraction and Reasoning corpus is good example of it - it is tremendously hard to solve for the AI to this day.

https://www.researchgate.net/publication/2472570_A_Formal_Definition_of_Intelligence_Based_on_an_Intensional_Variant_of_Algorithmic_Complexity - here's theoretical work elaborating on importance of this concept.

It is important for current LLM revolution as well, as it is one of ways to differentiate actual congnitive skills from glorified look-up table