why so serious?
Firstname Lastname
takeraparterer
AI & ML interests
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takeraparterer's activity
replied to
TuringsSolutions's
post
1 day ago
replied to
their
post
1 day ago
glad you like it!
replied to
TuringsSolutions's
post
2 days ago
that's a FFN, which is only a small part of an LLM
reacted to
TuringsSolutions's
post with 😔
2 days ago
Post
373
What if I told you that LLM models do not simply predict the next token in a sequence but instead utilize an emergent structural pattern-based system to comprehend language and concepts? I created a graph-based optimizer that not only works, but it also actually beats Adam, like very badly. I prove it thoroughly using SMOL LLM models. The secret? The graph is not what you think it is, humans. Code, full explanation, and more in this video. The Rhizome Optimizer is MIT licensed. I have completed my research. I fully understand now.
https://youtu.be/OMCRRueMhdI
https://youtu.be/OMCRRueMhdI
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- 6 replies
replied to
TuringsSolutions's
post
11 days ago
has threatened violence in subtle ways
😭😭😭😭😭😭
replied to
TuringsSolutions's
post
11 days ago
very intriguing. looking into this 👀👀👀
replied to
TuringsSolutions's
post
11 days ago
Reported.
tell me more
reacted to
TuringsSolutions's
post with 😔
11 days ago
Post
3931
Are you familiar with the difference between discrete learning and predictive learning? This distinction is exactly why LLM models are not designed to perform and execute function calls, they are not the right shape for it. LLM models are prediction machines. Function calling requires discrete learning machines. Fortunately, you can easily couple an LLM model with a discrete learning algorithm. It is beyond easy to do, you simply need to know the math to do it. Want to dive deeper into this subject? Check out this video.
https://youtu.be/wBRem2p8iPM
https://youtu.be/wBRem2p8iPM
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- 8 replies
replied to
TuringsSolutions's
post
11 days ago
What about discrete and predictive?
replied to
TuringsSolutions's
post
16 days ago
why the hostility? I'm asking a question
replied to
TuringsSolutions's
post
17 days ago
so, still a problem then?
replied to
TuringsSolutions's
post
17 days ago
what about power bills?
this is one of the websites of all time
reacted to
lippytm's
post with 👀🚀🚀
22 days ago
Post
1347
Hello Universes of Time Machine Builders. Financing Time Machines Traveling Throughout Eternal Time Rewriting Historical History Retroactively. Robotics Robots for no manual labor so the Human race can leave the planet retroactively. The Old Testament “Hitchhikers Guide Throughout the Galaxy”, and the New Testament being “Hitchhikers Guides Throughout the Universes of Time Machine Builders”. Teaching & Training everyone & the Robotics Robots to become better programmers & blockchain developers. Smart Contracts Earn while you Learn to become better programmers & Blockchain developers. And making a lot of money Financing leaving the planet retroactively.
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- 2 replies
reacted to
nroggendorff's
post with 😔
22 days ago
Post
3296
@echo off
echo hello world
pause
- 3 replies
reacted to
TuringsSolutions's
post with 😔
about 1 month ago
Post
1377
Ever wondered how neural networks actually work under the hood?
In my latest video, I break down the core mathematical concepts behind neural networks in a way that's easy for IT professionals to understand. We'll explore:
- Neurons as logic gates
- Weighted sums and activation functions
- Gradient descent and backpropagation
No complex equations or jargon, just clear explanations and helpful visuals!
➡️ Watch now and unlock the mysteries of neural networks: https://youtu.be/L5_I1ZHoGnM
In my latest video, I break down the core mathematical concepts behind neural networks in a way that's easy for IT professionals to understand. We'll explore:
- Neurons as logic gates
- Weighted sums and activation functions
- Gradient descent and backpropagation
No complex equations or jargon, just clear explanations and helpful visuals!
➡️ Watch now and unlock the mysteries of neural networks: https://youtu.be/L5_I1ZHoGnM
reacted to
TuringsSolutions's
post with 😔
about 1 month ago
Post
2100
Transformers are not all we need, that is being proven repeatedly now as more alternative frameworks emerge. Another such framework is Kolmogorov Arnold Network based Transformers. I break down exactly how these differ from Perceptron based Transformers and give you the link to my Colab where I create a model based on the research paper that absolutely destroys a standard Transformers based model. Check out the video here: https://www.youtube.com/watch?v=Sw0euxNZCc4
replied to
TuringsSolutions's
post
about 1 month ago
alright. A suggestion, add some kind of admin badge so you can be distinguished from a normal user