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1.
▲
Building LLMs from the Ground Up: A 3-Hour Coding Workshop
magazine.sebastianraschka.com
136 comments
2 years ago
mdp2021
970 points
2.
▲
LLM Architecture Gallery
sebastianraschka.com
41 comments
3 months ago
tzury
586 points
3.
▲
GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2
magazine.sebastianraschka.com
97 comments
10 months ago
ModelForge
490 points
4.
▲
Understanding Reasoning LLMs
magazine.sebastianraschka.com
183 comments
a year ago
sebg
473 points
5.
▲
LLM architecture comparison
magazine.sebastianraschka.com
24 comments
a year ago
mdp2021
418 points
6.
▲
Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation)
magazine.sebastianraschka.com
27 comments
3 years ago
rasbt
342 points
7.
▲
Understanding large language models: A cross-section of the relevant literature
magazine.sebastianraschka.com
31 comments
3 years ago
headalgorithm
307 points
8.
▲
Components of a Coding Agent
magazine.sebastianraschka.com
90 comments
3 months ago
MindGods
300 points
9.
▲
Why the original transformer figure is wrong, and some other tidbits about LLMs
magazine.sebastianraschka.com
49 comments
3 years ago
rasbt
237 points
10.
▲
Finetuning Large Language Models
magazine.sebastianraschka.com
70 comments
3 years ago
headalgorithm
223 points
11.
▲
Key differences between Python 2.7.x and Python 3.x (2014)
sebastianraschka.com
168 comments
9 years ago
Tomte
212 points
12.
▲
Intro to Deep Learning
sebastianraschka.com
19 comments
5 years ago
tbau50
189 points
13.
▲
Python, Machine Learning, and Language Wars (2015)
sebastianraschka.com
57 comments
10 years ago
dekhtiar
178 points
14.
▲
Understanding Llama 2 and the New Code Llama LLMs
magazine.sebastianraschka.com
34 comments
3 years ago
rasbt
170 points
15.
▲
Python, Machine Learning, and Language Wars. A Highly Subjective Point of View
sebastianraschka.com
93 comments
11 years ago
Lofkin
167 points
16.
▲
Understanding and coding the self-attention mechanism of large language models
sebastianraschka.com
37 comments
3 years ago
mariuz
158 points
17.
▲
Implementing a Principal Component Analysis In Python (2014)
sebastianraschka.com
26 comments
9 years ago
nafizh
151 points
18.
▲
Machine Learning with PyTorch and Scikit-Learn
sebastianraschka.com
38 comments
4 years ago
sbbq
149 points
19.
▲
A Short Chronology of Deep Learning for Tabular Data
sebastianraschka.com
14 comments
4 years ago
tosh
148 points
20.
▲
Coding Self-Attention, Multi-Head Attention, Cross-Attention, Causal-Attention
magazine.sebastianraschka.com
11 comments
2 years ago
rasbt
142 points
21.
▲
Optimizing LLMs from a Dataset Perspective
sebastianraschka.com
24 comments
3 years ago
alexmolas
138 points
22.
▲
Ten Noteworthy AI Research Papers of 2023
magazine.sebastianraschka.com
19 comments
2 years ago
danboarder
128 points
23.
▲
AI and Open Source in 2023
magazine.sebastianraschka.com
67 comments
3 years ago
belter
123 points
24.
▲
Naive Bayes and Text Classification I – Introduction and Theory
sebastianraschka.com
24 comments
12 years ago
rasbt
115 points
25.
▲
Differences between Python 2.7.x and Python 3.x, with examples
sebastianraschka.com
16 comments
12 years ago
rasbt
108 points
26.
▲
An introduction to parallel programming using Python's multiprocessing module
sebastianraschka.com
24 comments
12 years ago
rasbt
104 points
27.
▲
Training and aligning LLMs with RLHF and RLHF alternatives
magazine.sebastianraschka.com
14 comments
3 years ago
rasbt
102 points
28.
▲
Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch
magazine.sebastianraschka.com
10 comments
2 years ago
rasbt
96 points
29.
▲
Running PyTorch on the M1 GPU
sebastianraschka.com
42 comments
4 years ago
my123
92 points
30.
▲
Understanding Large Language Models – A Transformative Reading List
sebastianraschka.com
16 comments
3 years ago
mariuz
81 points
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