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@abbassaliimi

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Array of Matrix = Tensor

Joined August 2014
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@AdameMedia
ADAM
5 months
Demons.
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@burkov
BURKOV
1 year
This is what generative models are for
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@azha_investing
Azha Investing
1 year
Nestle Msia. Terkenal pelbagai produk. Always resilient. Khamis lps Nestle umum 2Q profit hanya RM93mil, paling terok tempoh 8 thn. Revenue RM1.5bn lowest since 2021. Menurut analysts “consumer spending weakened” dan lemah sebab “heightened inflation pressure”. Saham fell 8% in
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@karpathy
Andrej Karpathy
2 years
These 94 lines of code are everything that is needed to train a neural network. Everything else is just efficiency. This is my earlier project Micrograd. It implements a scalar-valued auto-grad engine. You start with some numbers at the leafs (usually the input data and the
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@abbassaliimi
.y
2 years
I LOVE the Magic Mouse. Am I the only one? Honestly want to know. @MKBHD @WVFRM
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@miniapeur
Mathieu
2 years
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@0xgaut
gaut
2 years
Microsoft Excel championships is peak human performance
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@ShaykhAzhar
Shaykh Azhar Nasser
2 years
“Israel” refers to Jacob in the Quran, not a land. But why let pesky things like facts ruin your argument.
@GadSaad
Gad Saad
2 years
This is weird. I did a search of “Israel” in the Noble Qur’an and found 47 verses. A search of “Palestine” yielded 0 hits. It’s as if the Jews are in the indigenous people of that land even according to the Noble Qur’an.
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@BostonDynamics
Boston Dynamics
2 years
We promise this is not a person in a bodysuit. https://t.co/S9FgfpqvrW
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@0xgaut
gaut
2 years
you’re not ready for the quality of memes AI is enabling
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@karpathy
Andrej Karpathy
2 years
Have you ever wanted to train LLMs in pure C without 245MB of PyTorch and 107MB of cPython? No? Well now you can! With llm.c: https://t.co/w2wkY0Ho5m To start, implements GPT-2 training on CPU/fp32 in only ~1,000 lines of clean code. It compiles and runs instantly, and exactly
Tweet card summary image
github.com
LLM training in simple, raw C/CUDA. Contribute to karpathy/llm.c development by creating an account on GitHub.
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@matthen2
Matt Henderson
4 years
no matter how chaotic and unstable the orbits of these three gravitational bodies are, their centre of gravity (centroid of the triangle) always remains stationary and fixed in space
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@Dorialexander
Alexander Doria
2 years
Starting to think we should drop the "Large" label in LLM: *Small vs. large range is all over the place. Bert was the og LLM at 170M, but now seeing people arguing that <100B is small *Mixture of Experts blur the concept of size, with models being simultaneously 7B, 14B and >50B
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@GhassanAbuSitt1
Ghassan Abu Sitta
2 years
Israel declares victory over a hospital.
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@AuthorJMac
Joanna Maciejewska
2 years
You know what the biggest problem with pushing all-things-AI is? Wrong direction. I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.
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@Yann_LeGall
Yann Le Gall
2 years
#genuary2024 day 24: "Impossible objects"
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@douglasmun
Douglas Mun
2 years
*Evolution of click farm fraud.* 1st generation click farm fraud, fully manual labour.
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@mckaywrigley
Mckay Wrigley
2 years
This reads like the opening to a movie. AGI is near.
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@fchollet
François Chollet
2 years
People seem to be falling for two rather thoughtless extremes: 1. "LLMs are AGI, they work like the human brain, they can reason, etc." 2. "LLMs are dumb and useless." Reality is that LLMs are not AGI -- they're a big curve fit to a very large dataset. They work via
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