Exactly

I’m dead 💀

Indexing and tools like llamaindex use LLM generated embeddings to “intelligently” search for similar documents to a search query.

Those documents are usually fed into an LLM as part of the prompt (eg. context)

Hey yknow that’s a good point.

Yes, you can craft your prompt in such a way that if the llm doesn’t know about a referenced legal document it will ask for it, so you can then paste the relevant section of that document into the prompt to provide it with that information.

I’d encourage you to look up some info on prompting LLMs and LLM context.

They’re powerful tools, so it’s good to really learn how to use them, especially for important applications like legalese translators and rent negotiators.

Generally, training an llm is a bad way to provide it with information. “In-context learning” is probably what you’re looking for. Basically just pasting relevant info and documents into your prompt.

You might try fine tuning an existing model on a large dataset of legalese, but then it’ll be more likely to generate responses that sound like legalese, which defeats the purpose

TL;DR Use in context learning to provide information to an LLM Use training and fine tuning to change how the language the llm generates sounds.

You didn’t present any ideas or solutions to argue against. There’s no argument happening here.

Nor are there strawmen because there’s no argument being made.

You said that there’s generally a lack of imagination with regards to this stuff and I was just sharing my opinions as to why.

I think most people (correctly imo) don’t see how a large enough company can operate without some hierarchy, which seems to run up against the idea of being entirely equally employee owned.

There’s always going to be leaders (manager or just someone who others listen to) That person necessarily has more responsibility and control than his peers and is justly compensated more (otherwise nobody would put in extra work, say, to train as an engineer or doctor)

That person has their own interests that don’t always line up with the company and may use their influence to guide the company in a way that benefits them.

Suddenly you have a worker class and a bourgeois-esque class.

Most people (incorrectly imo) think that the “unbiased” checks and balances in government counteract that.

If there’s another option that accounts for hierarchies in large employee owned and operated companies let me know…. please

EDIT: large as in number of employees

It def adds some flavor to the social media political scene

The news bot posts are more annoying to me than the politics.

At least here there’s more than trump lovers and trump haters.

I hate scrolling into infinite bot posts with 0 comments

Complicated issues are complicated. Neither Reddit, lemmy, Twitter (x?), nor any social media platform is particularly well suited towards discussing complex decisive topics.

Lemmy has some very aggressive communists.

I’ve been lucky enough to dodge the crazy right wingers though.

People are dumb.

People way into politics and pedophiles always causing trouble on the internet

That’s the open source life though :/

Almost nobody gets rich from open source. You’re explicitly granting rights that people usually pay for.

It’s noble, but it sucks.

That took time though.

Ssh only started getting major industry support after heart bleed and it’s been the go to secure shell for at least over a decade before that.

I have to disagree. I’ve been conducting interviews for a fairly large software shop (~2000 engineers) for about 3 years now and, unless I’m doing an intern or very entry level interview, I don’t care what language they use (both personally and from a company interviewer policy), as long as they can show me they understand the principles behind the interview question (usually the design of a small file system or web app)

Most devs with a good understanding of underlying principles will be able to start working on meaningful tasks in a number of days.

It’s the candidates who spent their time deep diving into a specific tool or framework (like leaving a rails/react boot camp or something) that have the hardest time adjusting to new tools.

Plus when your language/framework falls out of favor, you’re left without much recourse.

A programming language itself isn’t a marketable skill!

Learn the underlying concepts of programming and how computers work and you’ll be able to move from language/framework to pretty much any language/framework easily.

I think rust is good for learning some low level concepts, especially coming from python.

I don’t think Python is going anywhere in the ML space though.

According to the trump crowd, it’s not even over then.