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/r/MachineLearning
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Convince me to learn C++ for computer vision.

PLEASE READ THE PARAGRAPHS BELOW
HI everyone. Currently I am at the last year of my master and I have good knowledge about image processing/CV and also deep learning and machine learning. I plan to pursue a career in computer vision (currently have a job on this field). I have some c++ knowledge and still learning but not once I've came across an application that required me to code in c++. Everything is accessible using python nowadays and I know all those tools are made using c/c++ and python is just a wrapper. I really need your opinions to gain some insight regarding the use cases of c/c++ in practical computer vision application. For example Cuda memory management.

/r/computervision
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I wish this “AI is one step from sentience” thing would stop

The amount of YouTube videos I’ve seen showing a flowchart representation of a neural network next to human neurons and using it to prove AI is capable of human thought...

I could just as easily put all the input nodes next to the output, have them point left instead of right, and it would still be accurate.

Really wish this AI doomsaying would stop using this method to play on the fears of the general public. Let’s be honest, deep learning is no more a human process than JavaScript if/then statements are. It’s just a more convoluted process with far more astounding outcomes.

/r/deeplearning
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RPC — A New Way to Build Language Models

Article: RPC — A New Way to Build Language Models

One of the reasons I really like software engineering in general is because anyone can do almost anything with just a computer. But when it comes to Al and specifically LLMs you need a tone of resources and money to do anything interesting by yourself.

So recently I've been trying to find a way to build language models with far less training data and far less compute. RPC is my closest attempt at that. It compresses the prompt into a vector representation and then performs a search in a vector database to find the most appropriate next token. It works remarkably well.

I haven't got the time to properly evaluate and test it yet. That's why I'm sharing this with the community, in the hope that someone will give some feedback or even try to replicate it. I'd love for you to take a look at the article and share some thoughts here.

/r/deeplearning
https://redd.it/1ehp00w

Medium

RPC —A New Way to Build Language Models

This work explains how to build a very small language model (5M Params) using a new approach called Relevant Pecedence Compression.

D Simple Questions Thread

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the title.

Thanks to everyone for answering questions in the previous thread!

/r/MachineLearning
https://redd.it/1ee9dra

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PyTorch or die

/r/deeplearning
https://redd.it/1ecdu93

RAG evaluation framework

Hi,

I am looking for some good resources for RAG evaluation.

/r/LanguageTechnology
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How do researchers come up with these ideas?

Hi everyone. I have a question which is tickling my mind for a while now and I was hoping maybe you can help me. How do cv researchers come up with their ideas? I mean I have read over 100 cv papers (not much I know) but every single time I asked myself how? How is this justified? For example in object detection I've read Yolo v6, all I saw was that they experimented so many configuration with little to no insight, the same goes to most other papers, I mean yes I can understand why focal loss or arcface might help learning procedure but I cannot understand how traversing feature pyramid top to bottom or bottom to top or bidirectional or etc might help when there is no proper justification provides. Where is the intuition? I read a paper, the author stated that we fuse only top layers of FP together and bottom layers together and it works, why? How? I am really confused specially since started to work on my thesis. Which is about object detection.

/r/computervision
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AI Study GroupAny willing study partners to create some group to learn architectures, implement them, discuss them and create some application level projects?D

Basically, I am interested in learning and discussing architectures and implementing them and doing some projects. I prefer to make a group where we get productive, share our learnings, teach each other and have some accountability.
Rather than experts, I would love to connect with those who are intermediate with ML and DL architectures, and are willing to explain and implement things they are interested in. Any country, any age.
If anyone is willing to, please feel free to DM or comment.
Do mention your expertise level and your areas of interest!

/r/MachineLearning
https://redd.it/1e59xvu

Reddit

From the MachineLearning community on Reddit: [AI Study Group]Any willing study partners to create some group to learn architectures…

Posted by Lost\_Detective\_9341 - 41 votes and 106 comments

D GPT-4o "natively" multi-modal, what does this actually mean?

What are your best guesses on how it works (training and architecture) vs. the typical VL formula of pretrained vision encoder + pretrained LLM -> fine-tune with multimodal tasks?

E.g. Is it fully mixed modality pre-training the entire system? Does model embed all modalities into a shared space for prediction? Does the system "self-select" the modality of output tokens (can flexibly choose to output audio vs. text based on input tokens) or is this user specified?

/r/MachineLearning
https://redd.it/1crzdhd

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From the MachineLearning community on Reddit

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