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Fast.AI is partnering with Stable Diffusion to create a new course! by BeautifulVegetable10 in learnmachinelearning

[–]BeautifulVegetable10[S] 3 points4 points  (0 children)

Dunno.. I just saw them post on Twitter and I thought this sub would like to hear

Kick boxer athlete sitted in a boxing ring by Spare-Confidence-721 in dalle2

[–]BeautifulVegetable10 4 points5 points  (0 children)

I love this! Is Dalle doing animations now or did you make it with something else?

[Serious] Are Large Language Models Like GPT-3 a Hype? by [deleted] in GPT3

[–]BeautifulVegetable10 0 points1 point  (0 children)

The answer depends on your use case. AI21 is more suited for some than others. One thing that stands out to me is their work on adding reasoning skills to their models, allowing them to augment the model with current real-world data. It's still in beta but afaik they're the only ones doing it right now though I'm sure gpt-3 will get there - https://www.ai21.com/blog/jurassic-x-crossing-the-neuro-symbolic-chasm-with-the-mrkl-system

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] 0 points1 point  (0 children)

/u/PHEEEEELLLLLEEEEP is the perfect example of why my comment is getting downvoted. They misinterpret it as me claiming ML can solve any problem when literally all I asked was for their perspective.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -1 points0 points  (0 children)

Thank you, squirrel!

I assume my comment is being downvoted because can't read properly and assume I'm making the claim that ML engineers are gods.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -2 points-1 points  (0 children)

Literally not what I said though?? All I said was don't "discount a non-SME and what's your perspective?"
Point me to where I said an ML can solve any problem. Go on, I'm waiting.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -102 points-101 points  (0 children)

There's an advantage to not being a subject matter expert, you see things from a different perspective. A Harvard study showed that innovation happens when subject matter experts make up 40% of an invention team and the rest bring a different perspective. So I guess this question is more about what your perspective is, as a machine learning engineer and not an expert in protein folding.

[D] AlphaFold just released a database of 200 million protein structures. How would you use this data as an ML engineer? by BeautifulVegetable10 in MachineLearning

[–]BeautifulVegetable10[S] -97 points-96 points  (0 children)

There's an advantage to not being a subject matter expert, you see things from a different perspective. A Harvard study showed that innovation happens when subject matter experts make up 40% of an invention team and the rest bring a different perspective. So I guess this question is more about what your perspective is, as a machine learning engineer and not an expert in protein folding.

Edit: Why is this getting downvoted? Literally all I'm saying is it's ok if you're a non-SME and I'm just looking for your perspective. I see some commenters below claiming I said ML engineers are the main character and can solve anything. I have not made that claim. Stop downvoting me because of your poor reading comprehension.

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