@lachinemearning.com: hope this helped you guys understand how LLMs work under the hood!! #chatgpt #computerscience #machinelearning #coding #machinelearning
I did this aswell, trained it on 10,000 conversations aswell and it still responds random garbage to "hello"🥀🥀
2026-02-24 18:05:40
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call me cosmic :
Is it real to learn ml if your math is like SAT 650
2026-02-21 19:37:44
10
qwerty :
I’m not built for ts ref.
2026-02-21 16:42:37
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Biking mike :
Ts not a llm its closer to a ocs
2026-02-22 02:33:05
28
ㅤㅤㅤㅤㅤㅤㅤㅤ✝️⚛️🕉️☸️☮️☯️☪️🪯☦️🕎 :
are you using bazzite or am i tripping
2026-04-24 14:53:10
0
Gabriel :
not helpful.. why waste time if you do it wrong?!.. it seems that you are rather boasting then actually trying to clarify and explain the subject you choose.. ..
2026-02-23 06:32:59
11
finn 🏴🇦🇺 :
wtf am I listening to genuinely bro
2026-05-26 19:28:27
1
𝕖𝕥𝕩𝕣𝕟𝕝彡 :
Cute. Now build a quaternion-valued synaptic language model
2026-02-21 23:14:12
5
dan :
Epochs are passes through the entire dataset not the entire network , but other than that this video is pretty accurate.
2026-02-21 17:21:20
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Goατα∂ori :
Holy this is actually so cool😭
2026-02-22 02:48:41
5
Rusty :
POP OFF
2026-02-21 16:37:30
5
wksjdng :
do you have a youtube channel? would be cool
2026-03-17 02:40:22
0
Swagnific :
Honestly sure this is educational for understanding what your designing but the important parts are the training and data
2026-04-20 09:06:19
0
equsequs :
why do you use vector, a rank-1 tensor instead of a matrix, a rank-2 tensor. or even higher dimensional arrays? i’m assuming when you say vector you mean x = [2, 5, 7]. wouldn’t it be better to do x = [[1,2],[3,4]]? a matrix lets you handle a whole sequence or dataset at once.
2026-03-31 07:53:46
0
user339366994637373 :
PyTorch >
2026-03-30 15:18:33
0
Boran HQ :
You just do AI/ML stuff or also have any experience in Low Level/Embedded things?(or maybe even ML in C🥸)
2026-03-21 05:22:01
2
Hovi :
i want to be like you twin🥺(im not young im just lazy asf)
2026-02-24 18:06:12
4
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