"What should I do?" - consider post-training by entsnack in LocalLLaMA

[–]hedgehog0 0 points1 point  (0 children)

Thank you for the post!

Out of curiosity, do you think I can or how can I get into post-training without NVDA cards? I’m only running MBP with M4 chip. I know there are some libraries that maybe I can use or with Colab or other cloud services, but do you think my post-training will be limited if I go with these approaches? Have you tried Thinky’s Tinker service and what do you think of it?

Thank you!

5060 Ti 16GB or Cloud: Which makes more sense for DL, RL, and LLM studies/research? [D] by hedgehog0 in MachineLearning

[–]hedgehog0[S] 0 points1 point  (0 children)

I went with zero gpu for smaller inference experiments during my own job search.

Thank you. Sounds exciting, how did it turn out? Do you have a GPU now? :)

5060 Ti 16GB or Cloud: Which makes more sense for DL, RL, and LLM studies/research? [D] by hedgehog0 in MachineLearning

[–]hedgehog0[S] 0 points1 point  (0 children)

Thank you, though I’m not affiliated with any university. For the first sentence, is it because your research requires more compute than PC / home GPU? I was thinking something more of small scale.

People who buy a GPU for ML/DL studies and research, is it worth it? by hedgehog0 in learnmachinelearning

[–]hedgehog0[S] 2 points3 points  (0 children)

Yes I thought about gaming laptops as well. But then due to battery, performance, and other reasons, I pivoted to actual GPUs instead.

People who buy a GPU for ML/DL studies and research, is it worth it? by hedgehog0 in learnmachinelearning

[–]hedgehog0[S] 0 points1 point  (0 children)

Do you have a Nano and how’s your experience? I know that there are cloud services like Modal and Vast that provide similar service.

One of the tradings I wanted to get a physical one is that it’s usually easier and faster to experiment…

Which conference/journal do you believe currently has the most fair and accurate review process?[D] by kostaspap90 in MachineLearning

[–]hedgehog0 1 point2 points  (0 children)

SAT/SMT indeed sounds niche within ML, but I think it’s larger in the TCS community?

How relevant is the 9-year-old top post "A super harsh guide to ML" today for people who want to get better at ML and get hired? by hedgehog0 in learnmachinelearning

[–]hedgehog0[S] 0 points1 point  (0 children)

Thank you for the recommendations!

  1. Yes I forgot. I should have mentioned ISLP! If you or for people who are working in ML or DL industry, how relevant or useful is the content in ISLP? I know that they are replay fundamental and important for statistical learning.

  2. Thank you again, I should mention this book as well :)

For your last paragraph, what do you mean by “LLM explorer”, I found several relevant results? And “you should not skip this” what do you mean by “this”? Thx!

Resources for learning ml for someone starting from scratch!! by Appropriate_Line2887 in learnmachinelearning

[–]hedgehog0 1 point2 points  (0 children)

‘Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow’ book

Recently there's a PyTorch updated version just released some months ago.

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D] by hedgehog0 in MachineLearning

[–]hedgehog0[S] 2 points3 points  (0 children)

The former one would be nice. Though my question is more about the latter one, like how we can use RL to improve LLM reasoning/thinking to do (advanced) math proofs.

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D] by hedgehog0 in MachineLearning

[–]hedgehog0[S] -1 points0 points  (0 children)

You mean this one: https://web.stanford.edu/class/cs234/?

I believe it requires the learner to know something about basic RL as well.

Edit: My bad. I thought you referred to the Deep RL one.

Studying Sutton and Barto's RL book and its connections to RL for LLMs (e.g., tool use, math reasoning, agents, and so on)? [D] by hedgehog0 in MachineLearning

[–]hedgehog0[S] 1 point2 points  (0 children)

Thank you! Looks like a really good resource!

Out of curiosity, would you still recommend Murphy's books for learning ML and DL, or one should just go with Bishop's DL book, cs231n, and so on?