HackerLangs
トップ新着トレンドコメント過去質問紹介求人

krapht

1,696 カルマ登録 15 年前

コメント

krapht
·18 日前·議論
> The catch is that for image resolutions >=700x700pixels (most production usecases)

Citation needed? 2XL looks like you go up to 800x800 pixel inputs. This isn't the dealbreaker you say it is - all pipelines benefit from thoughtful crop and rescaling before going to inference.
krapht
·24 日前·議論
More than just your commute. Any downtime where you are doing a mindless chore is prime podcast time.
krapht
·先月·議論
I've heard of people using anythingllm for this purpose.

Basic rag is almost stupid in how easy it is, though. You grep for keywords, take the surrounding paragraph, then stuff it all into your llm prompt.

The next upgrade is to automate keyword extraction by putting your documents into a vector store and search by vector similarity.
krapht
·先月·議論
Don't post generated comments or AI-edited comments. HN is for conversation between humans. https://news.ycombinator.com/newsguidelines.html#generated
krapht
·2 か月前·議論
I went and looked at the code. It's AI bots and a few confused trend followers all the way down. There's no way anything in there works.
krapht
·2 か月前·議論
<article excerpt>

What AI actually does Mutinex has built what it describes as a “multi-agent system,” where each agent acts as a domain specialist. For example, one agent understands marketing econometrics, another understands competitive pricing theory, another diagnoses model failures.

By combining Tracer, which cleans and makes sense of Hershey’s data infrastructure, with Mutinex’s AI system, Hershey is now able run models in as little as three weeks.

In practice, that means faster iteration on how marketing spend is evaluated and adjusted, rather than waiting for lagging historical reads.

“Most companies don’t have an AI problem. They have a data readiness problem,” said Sarah Martinez, chief commercial officer, Tracer.

</article excerpt>

Instead of the headline, it sounds like they've hired an external company to clean up their ETL pipelines. That seems useful.

I'm going to doubt spooling up <massive LLM> with <appropriate system prompt> is going to be the thing that reduces their analysis time.
krapht
·2 か月前·議論
You can go your entire career without recursing, or using a tree data structure in its raw form (i.e. you only use it as part of a library)
krapht
·3 か月前·議論
which city is that? I want to move there with my children.

If you desperately want mediocre chromebook instruction for your children; where your classmates turn in ChatGPT essays as original work, feel free to move to Virginia.
krapht
·4 か月前·議論
Lots of sensors these days will give you 10 or 12 bits of data per color channel. You may want ordered dithering when previewing on an 8 bit display.
krapht
·4 か月前·議論
Is the code actually good though? Not seeing any benchmarks vs numexpr, numba, or Jax
krapht
·4 か月前·議論
Sublime Text? Sure, doesn't have the long tail of extensions, but surely most people don't need those. The biggest issue with ST being the fact that it costs money...
krapht
·4 か月前·議論
Paying customers use docker desktop.
krapht
·4 か月前·議論
Even if you don't like the current administration, the rank and file are still out there doing valuable work. The government is more than ICE; it also administers welfare, funds research, collects taxes, and distributes social security payments to the old and infirm.
krapht
·4 か月前·議論
So? If the goal was to attract corporations you'd release under a BSD license.
krapht
·4 か月前·議論
Why? Is Scotland innocent?
krapht
·5 か月前·議論
This post makes me sad for two reasons:

1) kids k-5 are using laptops 2) websites are so bloated today that browsing on a Chromebook is causing agitation

Otherwise I don't have anything topical for this post, but good luck OP
krapht
·5 か月前·議論
Yes, but is this a problem? Haven't most betting markets turned out to offer accurate predictions?
krapht
·5 か月前·議論
The human is responsible. How is this a question? You are responsible for any machines or animals that work on your behalf, since they themselves can't be legally culpable.

No, an oversized markov chain is not in any way a human being.
krapht
·5 か月前·議論
Why not have a megatopic for things that don't need their own topic?

Topics are necessary when you start having a huge Zulip server, 100+ people. There's so much noise --- dividing things by channel is too coarse.

I participate in several open source Zulip servers and it reminds me of a better IRC. It's a lot more ergonomic that Gitter or Discord.
krapht
·5 か月前·議論
I've seen some small firms crash and burn too, though. The problem is small firms are easy-come, easy-go; they don't have enough reputation at stake. Not sure what a good solution is.