Listen now | Working out of notebooks is an easy and lightweight way to just mess around with code. One of my all time favorite ways to go about doing that is in the Colab research space provided by the team over at Google [1]. They have an offering for a pro subscription, but you can get in and use things without a payment plan. Sure the promise of faster GPUs, more memory, and longer runtimes is enticing. If you really get deeply into the process of training models, then it might make sense for you to make arrangements to pay for some compute. A lot of people have shared notebooks and you can quickly start to work on things and see code in action. The part of it that is so appealing to me is that you can look at a very distinct block of action and run it in the notebook environment without having to worry about anything else in the stack.
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How do you use Colab in a generative way?
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Listen now | Working out of notebooks is an easy and lightweight way to just mess around with code. One of my all time favorite ways to go about doing that is in the Colab research space provided by the team over at Google [1]. They have an offering for a pro subscription, but you can get in and use things without a payment plan. Sure the promise of faster GPUs, more memory, and longer runtimes is enticing. If you really get deeply into the process of training models, then it might make sense for you to make arrangements to pay for some compute. A lot of people have shared notebooks and you can quickly start to work on things and see code in action. The part of it that is so appealing to me is that you can look at a very distinct block of action and run it in the notebook environment without having to worry about anything else in the stack.