Viewing profile — euclaise

Maybe RL? Just like similar corrections in reasoning traces. You can train non-'thinking' models the same way (though if you're naive about it then you might end up with responses …

There isn't, though you can run it over wasm on it. I tried it a while back with a port of the w2c2 transpiler ( https://github.com/euclaise/w2c9/ ), but something like wazero is a…

This is not exactly propaganda in the typical sense, but it clearly is the case that people successfully edit Wikipedia to further objectives. As an example, the Wikipedia page for…

Simpler than, but somewhat reminiscent of, Plan 9's windowing system https://man.cat-v.org/plan_9/4/rio

Between the official nvidia drivers and Linuxulator, FreeBSD can run CUDA applications, but it's a bit hacky No other BSDs can

This one does have attention, it's just chunked into segments of 4096

A lot of embedding models are built on top of T5's encoder, this offers a new option The modularity of the enc-dec approach is useful - you can insert additional models in between …

LM studio is closed source, so no

Neat. I've worked on some similar projects in the past I have previously ported w2c2 to Plan 9 here: https://github.com/euclaise/w2c9 It ran basic Rust code fine. I later managed t…

There's a new 7B version that was trained on more tokens, with longer context, and there's now a 14B version that competes with Llama 34B in some benchmarks.

https://www.reddit.com/r/LocalLLaMA/comments/16sw4na/qwen_is...

They actually have a performance edge, but they aren't well suited to chat models because you can't do caching of past states like with decoder-only models

That tweet had it backwards, more tokens in tokenizer means that the 16k token context window typically allows for even longer passages than if LLaMA were 16k

phi-1 is a code-specific base model, with further finetuning on top of that. This is a general language base model, not really comparable.

RWKV also uses some sort of L2-esque regularization, which was supposedly an idea taken from PaLM (although I can't find a source on this point, other than some message in the RWKV…

After skimming https://alexanderobenauer.com/articles/os/1/ - I think the items are more like objects than files. Files have a uniform I/O interface, while items seem like they can…

I like runpod, although I've found that I typically have to set NCCL_P2P_DISABLE=1

Training as GPT vs RNN will give you numerically identical results with RWKV, it's just two ways of computing the same thing. It's trained in GPT-mode because it's cheaper to train…

> The bitter lesson [1] is going to eventually come for all of these. Eventually we'll figure out how to machine-learn the heuristic rather than hard code it. Recurrent neural netw…

Important note: They only did experiments up to 32k length

Runit is way more minimal, the difference between them is extreme even on that alone

The only paper that I could find using an approach with fully separated experts like this is https://arxiv.org/pdf/2208.03306.pdf

Here, lobste.rs, mailing lists, and 4chan The other alternatives don't seem very viable

GPT-4 with Bing search ability, slightly lobotomized, but free