sbbq

5 ms·

1.
by sbbq 1y ago
The chips are great. Now they just need to improve the quite stagnant laptop hardware to go with it.
2.
PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs(sebastianraschka.com)
4 points by sbbq 1y ago|0 comments
3.
Intermediate ML and AI questions and answers for interview prep(sebastianraschka.com)
3 points by sbbq 1y ago|0 comments
4.
Qwen3 Implemented from Scratch(github.com)
3 points by sbbq 1y ago|0 comments
5.
Understanding and Coding the KV Cache in LLMs from Scratch(sebastianraschka.com)
6 points by sbbq 1y ago|0 comments
6.
Coding LLMs from the Ground Up: A Complete Course(sebastianraschka.com)
4 points by sbbq 1y ago|0 comments
7.
The State of Reasoning Models(magazine.sebastianraschka.com)
4 points by sbbq 2y ago|0 comments
8.
Understanding Reasoning LLMs(sebastianraschka.com)
4 points by sbbq 2y ago|0 comments
9.
by sbbq 2y ago
I got my first switch in 2017 and still use it as my main console. I used to be a hardcore gamer but as I got older approaching my 40s I appreciate its simplicity and catalog. I game occasionally, maybe 2 hours a week, and it allows me to u
10.
Implementing a Byte Pair Encoding (BPE) Tokenizer from Scratch(sebastianraschka.com)
4 points by sbbq 2y ago|0 comments
11.
AI Research Recap 2024: From New Scaling Laws to Scaling Inference Compute(magazine.sebastianraschka.com)
1 points by sbbq 2y ago|0 comments
12.
Noteworthy AI Research Papers of 2024 (Part One)(magazine.sebastianraschka.com)
1 points by sbbq 2y ago|0 comments
13.
Collection of 1k LLM Research Papers of 2024(sebastianraschka.com)
4 points by sbbq 2y ago|0 comments
14.
Understanding Multimodal LLMs: The Main Techniques and Latest Models(sebastianraschka.com)
4 points by sbbq 2y ago|0 comments
15.
Implementing the Llama 3.2 1B and 3B Architectures from Scratch(github.com)
5 points by sbbq 2y ago|0 comments
16.
Converting GPT to Llama step-by-step code guide(github.com)
2 points by sbbq 2y ago|0 comments
17.
New LLM Pre-Training and Post-Training Paradigms: How Modern LLMs Are Trained(magazine.sebastianraschka.com)
5 points by sbbq 2y ago|0 comments
18.
LLM instruction finetuning from-scratch tutorial(github.com)
2 points by sbbq 2y ago|0 comments
19.
Tips for LLM Pretraining and Evaluating Reward Models(magazine.sebastianraschka.com)
2 points by sbbq 3y ago|0 comments
20.
by sbbq 3y ago
*At Home
21.
by sbbq 3y ago
Everyone is buying up H100's (and A100's if they can't find H100's). Sure, in 18 month people may lose interest in buying H100's but then there will already be the next Nvidia model everyone wants to buy to get ahea
22.
by sbbq 3y ago
Bluetooth ususally works pretty reliably for me these days. However, if you connect a larger number of bluetooth devices (headphones, mouse, keyboard, trackpad, etc.) it can become a bit flaky. Since you don't move keyboards like a mou
23.
Sharing Deep Learning Research Models: Building a Super Resolution App(sebastianraschka.com)
3 points by sbbq 4y ago|0 comments
24.
Taking Datasets, DataLoaders, and PyTorch’s New DataPipes for a Spin(sebastianraschka.com)
2 points by sbbq 4y ago|0 comments
25.
Running PyTorch on the M1 GPU(sebastianraschka.com)
2 points by sbbq 4y ago|0 comments
26.
Creating Confidence Intervals for Machine Learning Classifiers(sebastianraschka.com)
3 points by sbbq 4y ago|1 comments
27.
Cyclemoid – a new activation function inspired by cyclical learning rates(github.com)
2 points by sbbq 5y ago|0 comments
28.
by sbbq 5y ago
I think Rapids AI's cuML tried to go into this direction (essentially scikit-learn on the GPU): https://docs.rapids.ai/api/cuml/stable/api.html#logistic-reg... . For some reason it never took really off t
29.
by sbbq 5y ago
Author here. I agree with what you said. I wrote my first book with Packt back when I was a student and was like: "cool, a book deal!" Of course, I didn't know about the caveats :P. Yeah, there was very low (/no) quality
30.
Machine Learning with PyTorch and Scikit-Learn(sebastianraschka.com)
149 points by sbbq 5y ago|38 comments

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