1,174 karma · joined May 10, 2017
I noticed that LLMs will tend to work by default with CLIs even if there's a connected MCP, likely because a) there's an overexposure of CLIs in training data b) because they are better composable and inspectable by design so a better choice in their tool selection.
We created Label Studio (https://github.com/HumanSignal/label-studio/), which has quickly become the most popular open source data labeling and AI evaluation platform with 350K+ users around the world and millions of annotations each month, alongside a community of thousands of data scientists and ML engineers sharing knowledge and working to advance AI.
We're a remote team full of people passionated about open source and AI. We are very pragmatic and strong team players.
We are looking for multiples roles to support the growth of Label Studio:
- Senior Backend Engineer: https://boards.greenhouse.io/humansignal/jobs/4291492004
- Senior Frontend Engineer: https://boards.greenhouse.io/humansignal/jobs/4630367004
- Senior Full Stack Engineer: https://boards.greenhouse.io/humansignal/jobs/4803399004
- AI Engineer (GTM): https://job-boards.greenhouse.io/humansignal/jobs/5828847004
See https://boards.greenhouse.io/humansignal for more openings.
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I'm curious about the solutions the op has tried so far here.
I own a 2020 BMW with an electronic gearbox, which broke at around 80k km just a couple of months after the warranty expired (yeah I know!). It was a bit of a headache going back and forth with BMW to request a free repair. Fortunately, the headquarters agreed to cover the cost, and they installed a refurbished electronic gearbox. I was quite relieved that I didn’t have to pay about €10K out of pocket!
All that to say that I wouldn’t call BMW particularly reliable in terms of quality these days, but their customer support was decent, at least in my case.
> There’s nothing wrong with starting from scratch or rebuilding an existing tool from the ground up. There’s no reason to blindly build from the status quo.
Generally speaking all the options are ok, but not if you want to have something up as fast as you can or if your team is piloting something. I think the time you spend to vibe code it is greater than to setting any of those tools up.
And BTW, you shouldn't vibe code something that flows proprietary data. At least you would work with co-pilots
Ah! This is a horrible advice. Why should you recommend reinventing the wheel where there is already great open source software available? Just use https://github.com/HumanSignal/label-studio/ or any other type of open source annotation software you want to get started. These tools cover already pretty much all the possible use-cases, and if they aren't you can just build on top of them instead of building it from zero.
BTW There's a new OSS competitor in town that got the front a couple of days ago - Void: Open-source Cursor alternative https://news.ycombinator.com/item?id=43927926
Even in the case of population growth things will not look better especially because we are in the middle of a tragedy of the commons, we are exhausting the resources of the planet faster than what it takes to regenerate them. What's the plan for more consumption when there's nothing to produce? or that cost so much that only a few could afford that?
PLG creates the distribution to actually implement Sales effectively and at scale for B2B. Even those companies that originally were purely Sales-led now have a strong PLG component. PLG is far from be a fantasy, but now it's almost a must have motion to build distribution and long term healthy business viability considering also that Enterprise software is living a consumerization moment. Not to mention that the next generations of users and buyers buy and expect software to be different from the past, this is already happening.
We created Label Studio, which has quickly become the most popular open source data labeling platform with a 250K+ users around the world and millions of labeled samples each month, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.
We're a remote team full of people passionated about open source and AI. We are very pragmatic and strong team players.
We are looking for multiples engineering roles to support the growth of Label Studio:
- Senior Backend Engineer: https://boards.greenhouse.io/humansignal/jobs/4291492004
- Senior Frontend Engineer: https://boards.greenhouse.io/humansignal/jobs/4630367004
- Staff Full Stack Engineer: https://boards.greenhouse.io/humansignal/jobs/4803399004
- Support Engineer (Europe): https://boards.greenhouse.io/humansignal/jobs/4306322004
- Senior Sales Engineer: https://boards.greenhouse.io/humansignal/jobs/5218318004
See https://boards.greenhouse.io/humansignal for more openings.
There's also the "false contractors" route, i.e. hiring remote contractors but treating them like employees. Which is also a quite common setup among early stage startups with a fully distributed DNA.
That's an argument against unrespectful and uncivilized dog owners, not against dogs.
I can't see any evidences that those aren't really important or useful given your comment, do you have any data to support your argument?
We (https://humansignal.com/ ) are the folks behind Label Studio, which has quickly become the most popular open source data labeling platform, with a 350K+ users around the world, millions of labeled samples each month, and a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.
We are looking for freelance bloggers and content writers to create highly-technical, engaging and informative pieces for our community around machine learning topics. If you are a data scientist or software engineer looking to write about your areas of expertise or what you are learning, we would love to work with you. This is a great opportunity for you to contribute to the biggest technology revolution since the advent of the internet and work alongside influencers in AI.
Fill this GForm to apply: https://forms.gle/eMshjfjUS7mW7i5k7
We created Label Studio, which has quickly become the most popular open source data labeling platform with a 250K+ users around the world and millions of labeled samples each month, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.
We're a remote team full of people passionated about open source and AI. We are very pragmatic and strong team players.
We are looking for two key roles to support the growth of Label Studio:
- ML Evangelist: https://boards.greenhouse.io/humansignal/jobs/4963610004
- Open Source Community Engineer: https://boards.greenhouse.io/humansignal/jobs/5072569004
See https://boards.greenhouse.io/humansignal for more openings.
[1] https://github.com/HumanSignal/Adala
[2] https://github.com/HumanSignal/Adala/blob/master/examples/gs...
[3] https://labelstud.io/blog/mastering-math-reasoning-with-adal...