Reddit » Machine Learning
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Reddit » Machine Learning
1h ago
n ML and DL, our main focus goes to optimization and we do this using Gradient Descent.
Since, we have certain cost functions already defined for different cases,why don't we take the derivatives of the cost function and solve for dy/dx =0 and then solving this for max or min point
I know, we may have some problems while getting those extreme points, but the GD optimization too has so many complexities.
submitted by /u/naniramd
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Reddit » Machine Learning
3h ago
There's a website posted here in r/ML where it's a website that compiles all of the best products suggested by each subreddit, for example, earphones, the AI website will list and rank the top models and brands of the best and reviewed products made by Redditors. I can't find the website for the life of me.
submitted by /u/vertigondriac
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Reddit » Machine Learning
3h ago
It would be great if there were a bundle of such sources or if you have a go to place where you keep up to date with all the new research going on.
submitted by /u/pontiac_RN
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Reddit » Machine Learning
4h ago
You can find the paper here: https://arxiv.org/abs/2403.18671
Here is the list of things that you can find in the paper:
- We reveal that large commercial language models cannot be used for every day fact checking tasks.
- We argue that evaluating the fact checking pipeline across websites does not fully demonstrate model transferability, and instead, propose a straightforward way to repurpose existing datasets for the task.
- We empirically show that when the fact checking pipeline is trained on out-of-domain genre of claims is not as competitive as being trained on in-domain genre of clai ..read more
Reddit » Machine Learning
4h ago
Hi guys, I found it today in my drawer. I forgot I had it and have never used it. Then it came to mind how is the current state of ML on the edge and are your predictions for the near future. We usually see big advances and news on big models but not much on applications on device.
submitted by /u/TheLastMate
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Reddit » Machine Learning
9h ago
Title
submitted by /u/deadknxght
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Reddit » Machine Learning
12h ago
Is there a local LLM model that learns as it is used?
submitted by /u/m1nusgg
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Reddit » Machine Learning
13h ago
Robots intended to be used by the general public, with the ability to execute critical tasks must be governed by a trustless, transparent, auditable authorisation system.
There are 3 main points of vulnerability for a robot deployed into the real world.
Malicious intent from the robot
Malicious intent from the robot manufacturer
3.Malicious intent from hackers
A blockchain based authorisation system seems like the perfect solution.
The blockchain authorisation control system will have 4 fundamental aspects:
1.Soul-bound NFTs
Multi-Sig
Roles
Smart contract events
Read the full pr ..read more
Reddit » Machine Learning
13h ago
Hey there,
I am training a deep lesrning model using a dataset of 400Go in an external SSD disk and I noticed that training is very slow, any tricks to make dataloading faster ?
PS : I have to use the external disk
submitted by /u/bkffadia
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Reddit » Machine Learning
14h ago
Curious to hear from those that are building and deploying products with AI copilots. How are you tracking the interactions? And are you feeding the interaction back into the model for retraining?
Put together a how-to to do this with an OS Copilot (Vercel AI SDK) and Segment and would love any feedback to improve the spec: https://segment.com/blog/instrumenting-user-insights-for-your-ai-copilot/
submitted by /u/n2parko
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