Hacker News
- Optimizing LLMs from a Dataset Perspective https://sebastianraschka.com/blog/2023/optimizing-LLMs-dataset-perspective.html 24 comments
- Understanding Large Language Models – A Transformative Reading List https://sebastianraschka.com/blog/2023/llm-reading-list.html 16 comments
- Understanding and coding the self-attention mechanism of large language models https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html 37 comments
- A Short Chronology of Deep Learning for Tabular Data https://sebastianraschka.com/blog/2022/deep-learning-for-tabular-data.html 14 comments
- Running PyTorch on the M1 GPU https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html 42 comments
- Machine Learning with PyTorch and Scikit-Learn https://sebastianraschka.com/blog/2022/ml-pytorch-book.html 38 comments
- Intro to Deep Learning https://sebastianraschka.com/blog/2021/dl-course.html 19 comments
- Key differences between Python 2.7.x and Python 3.x (2014) http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html 168 comments
- Implementing a Principal Component Analysis In Python (2014) http://sebastianraschka.com/Articles/2014_pca_step_by_step.html 26 comments
- The key differences between Python 2.7.x and Python 3.x with examples (2014) http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html 2 comments
- Python, Machine Learning, and Language Wars (2015) http://sebastianraschka.com/blog/2015/why-python.html 57 comments
- Python, Machine Learning, and Language Wars. A Highly Subjective Point of View http://sebastianraschka.com/Articles/2015_why_python.html 93 comments
- Naive Bayes and Text Classification I – Introduction and Theory http://sebastianraschka.com/Articles/2014_naive_bayes_1.html 24 comments
- Linear Discriminant Analysis bit by bit http://sebastianraschka.com/Articles/2014_python_lda.html 3 comments
- Numeric matrix manipulation: Cheat sheet http://sebastianraschka.com/Articles/2014_matrix_cheatsheet.html 9 comments
- Differences between Python 2.7.x and Python 3.x, with examples http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html 16 comments
- An introduction to parallel programming using Python's multiprocessing module http://sebastianraschka.com/Articles/2014_multiprocessing_intro.html 24 comments
- [P] Research Papers in February 2024 — A Potential LoRA Successor, Small Finetuned LLMs Vs Generalist LLMs, and Transparent LLM Research https://sebastianraschka.com/blog/2024/research-papers-in-february-2024.html 7 comments machinelearning
- [P] Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters https://sebastianraschka.com/blog/2023/llm-finetuning-llama-adapter.html 4 comments machinelearning
- [D] Favorite tips for staying up to date with AI/Deep Learning research and news? https://sebastianraschka.com/blog/2023/keeping-up-with-ai.html 22 comments machinelearning
- [P] Understanding & Coding the Self-Attention Mechanism of Large Language Models https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html 4 comments machinelearning
- [P] Understanding Large Language Models -- A Transformative Reading List https://sebastianraschka.com/blog/2023/llm-reading-list.html 7 comments machinelearning
- Coding the Self-Attention Mechanism of Large Language Models in Python From Scratch https://sebastianraschka.com/blog/2023/self-attention-from-scratch.html 3 comments python
- Understanding Large Language Models -- A Transformative Reading List https://sebastianraschka.com/blog/2023/llm-reading-list.html 3 comments learnmachinelearning
- [P] A Short Chronology Of Deep Learning For Tabular Data https://sebastianraschka.com/blog/2022/deep-learning-for-tabular-data.html 4 comments machinelearning
- [P] No, we don't have to choose batch sizes as powers of 2 https://sebastianraschka.com/blog/2022/batch-size-2.html 93 comments machinelearning
- [P] PyTorch M1 GPU benchmark update including M1 Pro, M1 Max, and M1 Ultra after fixing the memory leak https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html 84 comments machinelearning
- [D] My experience with running PyTorch on the M1 GPU https://sebastianraschka.com/blog/2022/pytorch-m1-gpu.html 77 comments machinelearning
- Creating Confidence Intervals for Machine Learning Classifiers https://sebastianraschka.com/blog/2022/confidence-intervals-for-ml.html 3 comments learnmachinelearning
- Ch01: Introduction to Machine Learning and Deep Learning https://sebastianraschka.com/blog/2020/intro-to-dl-ch01.html 20 comments learnmachinelearning
- Python, Machine Learning, and Language Wars (also: Julia, R, MATLAB) http://sebastianraschka.com/blog/2015/why-python.html 5 comments datascience
- A collection of answers to commonly asked machine learning and data science related questions http://sebastianraschka.com/faq/index.html 7 comments datascience
- Python, Machine Learning, and Language Wars. A Highly Subjective Point of View http://sebastianraschka.com/articles/2015_why_python.html 9 comments programming
- Principal Component Analysis in 3 simple steps - PCA is not a black box! http://sebastianraschka.com/Articles/2015_pca_in_3_steps.html 4 comments datascience
- Linear Discriminant Analysis bit by bit http://sebastianraschka.com/Articles/2014_python_lda.html 8 comments statistics
- An introduction to parallel programming using Python's multiprocessing module http://sebastianraschka.com/articles/2014_multiprocessing_intro.html 8 comments compsci
- My best attempt to explain someone the difference between Retina and non-Retina (on a non-Retina monitor) http://sebastianraschka.com/images/shared_images/retina_vs_nonretina.png 40 comments apple
- A short tutorial for decent heat maps in R http://sebastianraschka.com/articles/heatmaps_in_r.html 10 comments rstats