Two main ways come to mind: 1.
Two main ways come to mind: 1. Become interested in something esoteric in programming, then find people more knowledgable than you who are interested in the same thing. This always works for me when I get interested in something new. 2. Just reach out. I've gotten questions on LinkedIn from people I've never met before, and as long as they're not obnoxious, I always reply. Even if this doesn't work for everyone, try to make enough connections, and some will work out. Just be respectful, and show you've put thought into your questions. Questions like, "how do I data science?" won't get good responses.
Posted by AstroChimpHam on Apr 19, 2015, 12:46 AM
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Raise real-world problems, find people facing the same issue, and discuss solutions.7,000 issues0 comments
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The biggest problem with having an LLM do this, from what I've observed of at least frontier models, is that the way they are trained...
The biggest problem with MOND is that it was hand-crafted with additional parameters simply to fit the data.
(My comment is about detached houses).
The biggest problem with this is that I can't run my company's own internal benchmarks against this API, because they will be trained int...
> steer Claude away from over-engineering parts of the system in response to hypothetical concerns.
Why is there no comparison with FLUX 3 Image?
> our Git monorepo was developing an annoying problem Sentences like this are so common from people using monorepos that I am convinced ...
Why is there no contact form?
Two main ways come to mind: 1.
Two main ways come to mind: 1. Become interested in something esoteric in programming, then find people more knowledgable than you who are interested in the same thing. This always works for me when I get interested in something new. 2. Just reach out. I've gotten questions on LinkedIn from people I've never met before, and as long as they're not obnoxious, I always reply. Even if this doesn't work for everyone, try to make enough connections, and some will work out. Just be respectful, and show you've put thought into your questions. Questions like, "how do I data science?" won't get good responses.
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