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The Big LLM Architecture Comparison
From DeepSeek V3 to GLM-5: A Look At Modern LLM Architecture Design
Jul 19, 2025
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Sebastian Raschka, PhD
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183
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Understanding Reasoning LLMs
Feb 5, 2025
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Sebastian Raschka, PhD
1,375
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127
Understanding and Coding Self-Attention, Multi-Head Attention, Causal-Attention, and Cross-Attention in LLMs
Jan 14, 2024
530
43
20
Controlling Reasoning Effort in LLMs
Jul 18
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Sebastian Raschka, PhD
417
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Building Reasoning Models from the Ground Up: A Full Video Course
Eight videos and over 11 hours of coding, covering evaluation, inference-time scaling, reinforcement learning, and distillation in Python and PyTorch.
Oct 24
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Sebastian Raschka, PhD
395
15
40
Language Models for Text Classification: From Bag-of-Words to Jev
A Visual Guide to Bag-of-Words, RNNs, CNNs, Transformers, Decision Models with Jev-like APIs, and Calibration
Sep 29
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Sebastian Raschka, PhD
648
65
60
GPT-6 Astra, Looped Transformers, and Hidden Reasoning
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
Sep 9
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Sebastian Raschka, PhD
468
74
55
How Claude Watermarks AI-Generated Text
A 48-Minute Video Walkthrough of Token Sampling, Watermark Detection, and Removal
Aug 22
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Sebastian Raschka, PhD
171
26
20
Building an AI Text Detector From Scratch
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Aug 15
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Sebastian Raschka, PhD
57
6
6
Controlling Reasoning Effort in LLMs
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
Jul 18
•
Sebastian Raschka, PhD
417
46
34
Using Local Coding Agents
Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions
Jun 27
•
Sebastian Raschka, PhD
483
50
55
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