4 ms·

I believe he talked about starting work on AGI at the time he went part-time at Meta, long before GPT-3. I encourage anyone to try out some AI related stuff, g

I believe he talked about starting work on AGI at the time he went part-time at Meta, long before GPT-3. I encourage anyone to try out some AI related stuff, genius IQ not required. It's still a young field so there aren't yet huge towers of knowledge to climb before you can do anything. The core ideas are actually super simple, requiring nothing more than high school math.

TechnicolorByte 4y ago
Any specifics for trying out AI stuff? Take some online courses? Play around with some simple models in DL frameworks?
- Salgat 4y ago
  Andrew Ng's online courses are great to get your feet wet. You use Octave/Matlab to implement the basics of many machine learning models from scratch, and build yourself up to using python to design several popular deep learning models including convolutional and transformers. It's not required, but a good idea to understand at least the basics of linear algebra and calculus.
  - monkeyshelli 4y ago
    I think the course just got updated during the past year and now they use Python instead of Octave/Matlab
    - Salgat 4y ago
      Interesting. To be honest I really appreciated how they started with Matlab; it gave a very math-centric focus to the fundamentals, although of course you can do all of that with Python too. And I say this as a professional developer.
- Reimersholme 4y ago
- theptip 4y ago
  FastAI gets recommended a lot I think, if you can already code - focuses on hacking with frameworks instead of starting with the boring linear algebra stuff. https://course.fast.ai/ https://course.fast.ai/
akomtu 4y ago
It's the mainframe era for AI: ideas are simple, but access to mainframes isn't.
- modeless 4y ago
  The hardware is fairly accessible. You can start for free with Colab, try a subscription for $9.99/mo, or use the gaming PC you might already have. The hardest thing is data, but again there are lots of free datasets available as well as pretrained models you can fine-tune on a custom smaller dataset that you make yourself.
deleted 4y ago
[deleted]

TechnicolorByte 4y ago

Any specifics for trying out AI stuff? Take some online courses? Play around with some simple models in DL frameworks?

Salgat 4y ago
Andrew Ng's online courses are great to get your feet wet. You use Octave/Matlab to implement the basics of many machine learning models from scratch, and build yourself up to using python to design several popular deep learning models including convolutional and transformers. It's not required, but a good idea to understand at least the basics of linear algebra and calculus.
- monkeyshelli 4y ago
  I think the course just got updated during the past year and now they use Python instead of Octave/Matlab
  - Salgat 4y ago
    Interesting. To be honest I really appreciated how they started with Matlab; it gave a very math-centric focus to the fundamentals, although of course you can do all of that with Python too. And I say this as a professional developer.
Reimersholme 4y ago
theptip 4y ago
FastAI gets recommended a lot I think, if you can already code - focuses on hacking with frameworks instead of starting with the boring linear algebra stuff. https://course.fast.ai/ https://course.fast.ai/

akomtu 4y ago

It's the mainframe era for AI: ideas are simple, but access to mainframes isn't.

modeless 4y ago
The hardware is fairly accessible. You can start for free with Colab, try a subscription for $9.99/mo, or use the gaming PC you might already have. The hardest thing is data, but again there are lots of free datasets available as well as pretrained models you can fine-tune on a custom smaller dataset that you make yourself.

deleted 4y ago

[deleted]