enoch2090

But seriously, please don't burn any more tokens to make any of these real

Coming soon: HackerHacker, HackerX, HackerGitHub, HackerAliExpress and HackerP*nHub!

Should have just wrote "Fixing Tool-Call Accuracy with vLLM" instead of "Fixing Tool-Call Accuracy in vLLM"

> When you say "don't do X" and end up with a README saying: "achieved by using Y, not X"

For accessory manufacturers?

It's totally valid if the models want to pack words tight during their thinking process, as long as the final conclusion (which is the interface to user) is written in HUMAN LANGUAGE, then I don't care whether the model thinks in alien language

You better delete all third-party applications for they are having full disk access.

Looking forward to your progress! Just checked the paper and it says the underlying backbone is still DETR. My guess would be that SAM3 uses more video frames during the training process and caused the dilution of sparse engineering-paper-like data.

GW! How does Onyx differ from Open WebUI and its alike?

Surprisingly, SAM3 works bad on engineering drawings while SAM2 kinda works, and VLMs like Qwen3-VL works as well

Although a bit off the GPU topic, I think Apple's Rosetta is the smoothest binary transition I've ever used.

That's the essence of these services, they never explicitly mention the quota, or secretly lowers it at some point.

Played with the demo a bit and I got confused.

1. The chat context is always provided, and that introduces a bit of uncertainty - when the chat history mentioned something the model is always inclined to connect with it.

2. When I tried to set each context to an empty string, the model doesn't show any evidence of remembering concepts. I told it 5 times that I love cats, and when asked about its favorite animal, its output remains "honeybee" and "octopus".

Can't wait to replace my explorer with this, hope the support will come soon