Technology

59174 readers

2689 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

[email protected]

The Future of Machine Learning: A New Breakthrough Technique (MLC) (lemmy.world)

submitted 1 year ago* (last edited 1 year ago) by [email protected] to c/[email protected]

20 comments fedilink hide all child comments

Breakthrough Technique: Meta-learning for Compositionality

Original :
https://www.nature.com/articles/s41586-023-06668-3

Vulgarization :
https://scitechdaily.com/the-future-of-machine-learning-a-new-breakthrough-technique/

How MLC Works
In exploring the possibility of bolstering compositional learning in neural networks, the researchers created MLC, a novel learning procedure in which a neural network is continuously updated to improve its skills over a series of episodes. In an episode, MLC receives a new word and is asked to use it compositionally—for instance, to take the word “jump” and then create new word combinations, such as “jump twice” or “jump around right twice.” MLC then receives a new episode that features a different word, and so on, each time improving the network’s compositional skills.

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

[–] [email protected] 1 points 1 year ago* (last edited 1 year ago) (1 children)

Good to know, Thanks.
Yours is the type of comment I was really hoping to read here.

You are right : it's the same authors (Brenden M. Lake & Marco Baroni) with mostly the same content.

But, they also write (in nature) that modern systems (GPT-4) do not yet incorporate these abilities :

Preliminary experiments reported in Supplementary Information 3 suggest that systematicity is still a challenge, or at the very least an open question, even for recent large language models such as GPT-4.

[–] [email protected] 2 points 1 year ago

This certainly could be part of the motivation for publishing it this way, to make themselves more noticed by the big players. Btw, publishing in open source nature is expensive, it's like 6-8000 euro for the big ones, so there definitely is a reason.