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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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Understanding Reasoning LLMs
Feb 5, 2025
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Sebastian Raschka, PhD
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Understanding and Coding Self-Attention, Multi-Head Attention, Causal-Attention, and Cross-Attention in LLMs
Jan 14, 2024
522
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Controlling Reasoning Effort in LLMs
Jul 18
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Sebastian Raschka, PhD
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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
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Controlling Reasoning Effort in LLMs
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
Jul 18
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Sebastian Raschka, PhD
372
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Using Local Coding Agents
Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions
Jun 27
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Sebastian Raschka, PhD
457
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LLM Research Papers: The 2026 List (January to May)
A curated roundup of notable LLM research papers that came out this year
Jun 6
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Sebastian Raschka, PhD
86
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Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention
From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs
May 16
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Sebastian Raschka, PhD
344
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My Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releases
Apr 18
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Sebastian Raschka, PhD
80
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Components of A Coding Agent
How coding agents use tools, memory, and repo context to make LLMs work better in practice
Apr 4
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Sebastian Raschka, PhD
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