Thomas
Region: US
Wednesday 13 November 2024 02:51:34 GMT
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george 💿👾 :
I actually love this approach, something practical to incorporate in daily life. Justify overthinking through results otherwise, don’t!
2024-11-13 03:15:27
18
jer :
don’t overthink 💆♂️
2024-11-15 05:09:56
4
Dxve :
Facts
2024-11-13 20:05:33
4
. :
Facts, the best part of my ML classes was learning about overfitting. Shifted my gear a little. Made me realize why just studying hard was not enough very often
2024-12-04 21:00:25
1
ding-dong :
also this content is criminally underrated, should have thousands of interactions
2024-11-13 13:40:32
1
CCN :
Where I’m from we say, “Study long, study wrong.”
2024-11-18 13:11:03
0
Issac🇰🇪🇰🇪🇰🇪🇰🇪 :
I agree with the video however in ML, the only way to see exponential improvement is by brute forcing.. chatgpt 3 was trained on 105B parameters gpt 4 is 100T
2024-11-15 12:40:53
1
easy beezee :
the new test-time approach in ai models is cooked then :(
2024-11-30 10:54:19
0
ding-dong :
good analogy but I'd say an overfit model is closer to someone with highly biased training, whereas the "amount of thought" would be linked to parameter count.
2024-11-13 13:39:16
2
Bez :
🥰
2024-12-01 12:17:03
0
Ibrahimyakson :
🥰
2025-03-15 01:22:25
0
Dinesh Chetty :
being process driven rather than outcomes is an excellent way to keep thought out of the decision. be like a champion golfer or shooter. just follow the process. don't think.
2024-11-13 04:19:38
1
Tyler durden :
you are a genius
2024-11-30 00:31:46
0
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