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

[R] Orca 2: Teaching Small Language Models How to Reason (arxiv.org)

submitted 11 months ago by Memories-Of-Theseus@alien.top to c/machinelearning@academy.garden

10 comments fedilink hide all child comments

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

[–] til_life_do_us_part@alien.top 1 points 11 months ago

It’s a risk if your model can’t accurately predict user responses, but I don’t see how it’s a necessary characteristic of the approach. If so the same issue would apply to model based RL in general no? Unless you are suggesting something special about language modelling or user responses which makes it fundamentally hard to learn a model of.