Viewing profile — axiom92

What do you think about Grok 4.5 in comparison to Muse Spark 1.1?

https://www.reddit.com/r/ChatGPT/comments/14sqcg8/anyone_els...

This was integrated in gpt4 2 years ago: https://www.reddit.com/r/ChatGPT/comments/14sqcg8/anyone_els...

And even before this work, there was "PAL: Program-aided Language Models" ( https://arxiv.org/abs/2211.10435 , https://reasonwithpal.com/ ). Afaik PaLM (Google's OG big models) tri…

You can do this at grok.com. There is a "start thread" option below every conversation. You can also read the responses aloud (helpful if you want to do something async).

Yeah, that's the first formal reference I remember as well (although, BERT is probably the first thing NLP folks will think of after reading about diffusion). I collected a few oth…

From last neurips https://automix-llm.github.io/automix/

The demo was done live (as was everything else).

Looks pretty cool https://www.youtube.com/watch?v=mogSbMD6EcY Although, it seems it's only going to cover the first book (which makes sense, given how difficult the other two would…

Welcome to one of the most hated parts of the academia.

The joke is that he doesn't own any OpenAI shares. [1] https://www.cnbc.com/2023/03/24/openai-ceo-sam-altman-didnt-...

Right, but no separate image encoder + half the size could be very helpful for many applications.

> tasks that need deterministic outputs and the thing you need to create is already known statically Wow, interesting. Do you have any example for this? I've realized that LLMs are…

> And basically all servers will have 8xA100 for those wondering: no this is not the norm. My lab at CMU doesn't own any A100s (we have A6000s).

> The options seemed to be: If I went for it, I’d be penniless, and if I didn’t go for it, I’d be bitter. I’d be bitter going forward. Penniless certainly beats bitter. So I made t…

Some of our recent/relevant work: https://selfrefine.info/

https://en.wikipedia.org/wiki/Dark_forest_hypothesis Also a major theme of https://www.amazon.com/Dark-Forest-Remembrance-Earths-Past/d...

For those curious about self-refining systems: https://selfrefine.info/ (our recent work).

cushman and code-davinci are similar for sure (same architecture). Perhaps that's what they meant.

Codex (code-davinci-002) is free (limited beta).

Actually, there is no way to be sure^. If you think about the costs + scale, it's likely to be cushman (code-cushman-001). ^ Unless you are from OpenAI, in which case I have more q…

codex (code-davinci-002) was free. This is going to be a huge deal for research groups.

We did some work in exploring why spelling out the rationale before the answer works so well! Talk: https://madaan.github.io/res/presentations/TwoToTango.pdf Paper: https://arxiv.o…