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Where do linear algebra folks go to get started with ML stuff? It seems pretty easy but the hardware is expensive.
by bee_rider 3mo ago
Where do linear algebra folks go to get started with ML stuff? It seems pretty easy but the hardware is expensive.
- nifets 3mo agowhat is a linear algebra folk?
- stuxnet79 3mo ago> It seems pretty easy but the hardware is expensive. Huh? If your aim is to truly 'get started' with ML then hardware is absolutely not a bottleneck (either local or cloud). Remember that ML is much more than LLMs. Even modern day LLMs can be quantized to a point where they can run on local hardware although their capabilities won't be as impressive. I would recommend looking into some of Andrej Karpathy's videos if you want a grasp of the basics.
- sva_ 3mo agoI think Karpathys nn zero to hero is a good starting point. And you can experiment on small networks using pretty normal hardware.
- thatjoeoverthr 3mo agoI’m having a great time with an NVIDIA 3090. 24 GB RAM will run a lot of neat models. But at zero you can for sure just do CPU until you build a project ambitious enough.