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pilooch

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投稿

DeepSeek-V4-Flash (official FP8) running across 2x DGX Spark

forums.developer.nvidia.com
4 ポイント·投稿者 pilooch·先月·1 コメント

Anon: Extrapolating Adaptivity Beyond SGD and Adam

anonymous.4open.science
2 ポイント·投稿者 pilooch·2 か月前·0 コメント

The Podcast Where You Can Eavesdrop on the A.I. Elite

nytimes.com
4 ポイント·投稿者 pilooch·3 か月前·0 コメント

Photoroom T2i Open Model

huggingface.co
2 ポイント·投稿者 pilooch·8 か月前·0 コメント

A Simple Definition of Intelligence

minimoog.substack.com
2 ポイント·投稿者 pilooch·8 か月前·0 コメント

コメント

pilooch
·先月·議論
Yes, full ft or lora https://github.com/NVIDIA-NeMo/Automodel/blob/main/docs/guid...
pilooch
·先月·議論
Yes, all my emails gyer sorted out by a finetuned gemma. There are turned into images passes to the model, as multimodal is so practical.
pilooch
·2 か月前·議論
Reminded me of the recent, and excellent, Canadian tv series Empathy, with the main character is found in a garbage can by his adoptive parents.
pilooch
·2 か月前·議論
AlphaEvolve couples map-elites with LLMs. It's an key step in machine learning, in the vein of DQN for reinforcement learning.

AE brings diversity from the genetic algorithms community to large scale optmized deep learning and RL models.

It is a mandatory step for moving forward. The approach is clean and simple, while generic.

The only caveats is the per optimization problem definition of the map élites dimensions. But surely, this will get tackled somehow over the next few years.

If you don't know about map-elites, go look up Jean-Baptiste Mouret' s work and talks, it's both very interesting and universal.
pilooch
·3 か月前·議論
Slides, publications and tech reports, very handy for figures !
pilooch
·3 か月前·議論
It's useful when using prism, and for exploratory research & code.
pilooch
·4 か月前·議論
Revolting and so inevitable though I believe: we're sort of running these already in our minds, we'll be outrun here too.!
pilooch
·4 か月前·議論
Good catch. Cancer treatment scheduling is hard as well as mixes need tombe prepared in advance and cancelles appointments are hard to fill.
pilooch
·4 か月前·議論
Hello! Not commenting on content or functionality. Scheduling in AI is a very dense field. An a past researcher in AI decision making, I got confused by the 'Scheduling solved' slogan. FYI recent AI for scheduling include GNNs and RL applied to NP and P-space problems that plague many industries. A larger scope I believe from vela's (rightful) target, a bit confusing IMO. Good luck with your endeavor, all scheduling problems are beautiful :)
pilooch
·4 か月前·議論
Try Flashback, it's darker but genius as well, maybe more approachable.
pilooch
·6 か月前·議論
Synthetic data for human (machine) learning... We should spend more time outside, we will!
pilooch
·8 か月前·議論
The 'Eclipse' album is a classic.
pilooch
·10 か月前·議論
I like the glasses path, well I do wear glasses, but some elements remain unclear to me:

- are prescription glasses available for display ? I guess not ? - these glasses need to be online, I guess they do so with a phone and bluetooth connection nearby ? So that's the glasses, the band and the phone, oh and the glasses case, seems a lot to carry. - pedestrian navigation seems to be rolled out per city, so it's not like having gmaps available right out of the box.
pilooch
·10 か月前·議論
Congrats, this solution resembles AlphaEvolve. Text serves as the high-level search space, and genetic mixing (map-elites in AE) merges attemps at lower levels.
pilooch
·昨年·議論
Fun, but LLMs would follow them post OCR anyways ;)

I see OCR much like phonemes in speech, once you have end to end systems, they become latent constructs from the past.

And that is actually good, more code going into models instead.
pilooch
·昨年·議論
But what's the need exactly for OCR when you have multimodal LLMs that can read the same info and directly answer any questions about it ?

For a VLLM, my understanding is that OCR corresponds to a sub-field of questions, of the type 'read exactly what's written in this document'.
pilooch
·2 年前·議論
I don't see deeper technical details nor how to control the sampling depth. Has anyone found more ?
pilooch
·5 年前·議論
Confidence is the key, but it is sometimes out of reach, even if only momentarily.

So rationalizing is one way: about competition first, it doesn't matter (really, like... really), whatever you are doing with focus will end up different than what others do (the state space is too large), and the rest is not within your hands. No need to worry then, it's a recurrent, automatic, bad habit.

Now, overall and most useful I believe, what we are doing in tech does not matter, it'll be outdated in months, years, whatever. What matters is the people we are working and spending time with. People first, tech second.

Good luck, serenity is within reach, especially in tech, it's a matter of body and mind working well together.

Oh and exercising is fundamental, walk, run, dance, jump, ...