I am learning deep learning and now I want to test my skills by implementing a research paper. There is a research paper called language evolution with deep learning and it fascinated me but I am confused where to start and how. If anyone, I need guidance. submitted by /u/No-Signal-313 [link] [comments]

Hello r/MachineLearning, I'm excited to share a project that was initially intended to use in my graduating product(Capstone) I made NLLB-200 Distill 350M model to translating English to Korean It's pretty good to use. small and fast. so it can be run with CPU! GPU servers are quite expensive, so I made it for university students who can't cost the...

I made a video about when it might be useful to run this instead of relying on leaderboards, go over the results, limitations, and takeaways, and give a brief overview of the code. I go over the GPT4 vs. Claude 3 Opus results. YT: https://youtu.be/-bcbcFYhqes Github: https://github.com/learn-good/llm-vs-llm In case you don’t feel like watching the...

Let’s be honest here. I know we all have to deal with these managers/directors/CXOs that come up with amazing idea to talk with the company data and documents. But… has anyone actually done something truly useful? If so, how was its usefulness measured? I have a feeling that we are being fooled by some very elaborate bs as the LLM can always generate...

I am working on this Image Captioning project using CNN+LSTM. Currently I am using googleNet as CNN and lstm, bilstm as RNN. For embedding I am using word2vec algorithm. Dataset used is flickr8k. As you can see from the blue scores, they are very close i.e no noticeable improvement. Parameter values in both of these approaches are same. The values are...

Sharing a video from my YT channel explaining convolution and visualizing how kernels are learnt… enjoy! submitted by /u/AvvYaa [link] [comments]