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TinyLoRA – Learning to Reason in 13 Parameters

arxiv.org

31–40 of 54 posts

Re: TinyLoRA – Learning to Reason in 13 Parameters

#31
post #14

Earlier quoted context omitted.

What are you basing how good they are on? Personal experience or some benchmarks?

Benchmarks, we have internal ones testing reasoning fine-tuned v/s frontier + prompts For some use cases it can be parity performance at 1/20th the cost up to exceeds at 1/10th the cost. Trade-off is ofc narrow applicability

How can I learn more about these models? Are they open source?

Re: TinyLoRA – Learning to Reason in 13 Parameters

#33
post #26

Earlier quoted context omitted.

Yeah, my big problem with the paper is it just might be an artifact of qwen's training process.

In all fairness most of the unique stuff I can do is probably an artifact of my training process, so it seems unfair to deny an LLM the same accomodation.

How much did your training cost society?

Re: TinyLoRA – Learning to Reason in 13 Parameters

#34
post #3

Earlier quoted context omitted.

Except learning to reason is a far cry from curve fitting. Our brains have more than five parameters.

It's the statistics equivalent of 'no one needs more than 640kb of RAM'

My very first PC was a Packard Bell with 640KB of RAM. If I’d known, I’d have saved all my RAM for retirement…

Re: TinyLoRA – Learning to Reason in 13 Parameters

#36
This is interesting and all, but “LoRA” is painfully close to “LoRa” (which is related to radio networking, not AI) when just scanning a list of topics. We’re never going to beat the Shannon limit on acronyms and initialisms.

I’m glad the rest of the anchor text gave some context.

Re: TinyLoRA – Learning to Reason in 13 Parameters

#37
post #36

This is interesting and all, but “LoRA” is painfully close to “LoRa” (which is related to radio networking, not AI) when just scanning a list of topics. We’re never going to beat the Shannon limit on acronyms and initialisms. I’m glad the rest of the anchor text gave some context.

I see this comment on every single LoRA post despite the vast majority of posts being about LoRA not LoRa. Can we please stop beating this dead horse?

Re: TinyLoRA – Learning to Reason in 13 Parameters

#38
post #36

This is interesting and all, but “LoRA” is painfully close to “LoRa” (which is related to radio networking, not AI) when just scanning a list of topics. We’re never going to beat the Shannon limit on acronyms and initialisms. I’m glad the rest of the anchor text gave some context.

A version of this comment is posted in all submissions about Low Rank Adapters. I don't see how "Learning to reason in 13 parameters" would apply to low power radio communication, so it's even less relevant this time.

> Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting.

https://news.ycombinator.com/newsguidelines.html

Re: TinyLoRA – Learning to Reason in 13 Parameters

#39
post #37
post #36

This is interesting and all, but “LoRA” is painfully close to “LoRa” (which is related to radio networking, not AI) when just scanning a list of topics. We’re never going to beat the Shannon limit on acronyms and initialisms. I’m glad the rest of the anchor text gave some context.

I see this comment on every single LoRA post despite the vast majority of posts being about LoRA not LoRa. Can we please stop beating this dead horse?

Never heard of the radio thing. I suspect LoRA has already eclipsed LoRa in general usage. It's probably more appropriate to complain on a LoRa post that it's too close to LoRA.

Re: TinyLoRA – Learning to Reason in 13 Parameters

#40
post #36

This is interesting and all, but “LoRA” is painfully close to “LoRa” (which is related to radio networking, not AI) when just scanning a list of topics. We’re never going to beat the Shannon limit on acronyms and initialisms. I’m glad the rest of the anchor text gave some context.

A version of this comment is posted in all submissions about Low Rank Adapters. I don't see how "Learning to reason in 13 parameters" would apply to low power radio communication, so it's even less relevant this time. > Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting. https://news.ycombinator.com/newsguid…

> I’m glad the rest of the anchor text gave some context.

I’m sorry if that reads like a complaint.

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