| | Components of a Coding Agent (sebastianraschka.com) |
| 299 points by MindGods 10 days ago | past | 90 comments |
|
| | Claude Code's Real Secret Sauce Isn't the Model (sebastianraschka.com) |
| 6 points by ModelForge 14 days ago | past |
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| | A Visual Guide to Attention Variants in Modern LLMs (sebastianraschka.com) |
| 9 points by Brajeshwar 22 days ago | past |
|
| | A Visual Guide to Attention Variants in Modern LLMs (sebastianraschka.com) |
| 23 points by Anon84 23 days ago | past | 1 comment |
|
| | LLM Architecture Gallery (sebastianraschka.com) |
| 586 points by tzury 30 days ago | past | 41 comments |
|
| | A Round Up and Comparison of 10 Open-Weight LLM Releases in Spring 2026 (sebastianraschka.com) |
| 4 points by MindGods 48 days ago | past |
|
| | Categories of Inference-Time Scaling for Improved LLM Reasoning (sebastianraschka.com) |
| 1 point by ibobev 78 days ago | past |
|
| | Understanding and Coding the Self-Attention Mechanism of LLMs from Scratch (sebastianraschka.com) |
| 1 point by onurkanbkrc 78 days ago | past | 1 comment |
|
| | The State of LLMs 2025: Progress, Problems, and Predictions (sebastianraschka.com) |
| 1 point by nsainsbury 3 months ago | past |
|
| | The State of LLMs 2025: Progress, Problems, and Predictions (sebastianraschka.com) |
| 3 points by ModelForge 3 months ago | past |
|
| | The State of LLMs 2025: Progress, Progress, and Predictions (sebastianraschka.com) |
| 4 points by ibobev 3 months ago | past |
|
| | The State of LLMs 2025: Progress, Progress, and Predictions (sebastianraschka.com) |
| 9 points by vismit2000 3 months ago | past |
|
| | New LLM Pre-Training and Post-Training Paradigms (sebastianraschka.com) |
| 2 points by lr0 3 months ago | past | 1 comment |
|
| | Understanding Encoder and Decoder LLMs (sebastianraschka.com) |
| 1 point by jeffjeffbear 3 months ago | past |
|
| | A Technical Tour of the DeepSeek Models from V3 to v3.2 (sebastianraschka.com) |
| 23 points by ibobev 4 months ago | past | 1 comment |
|
| | A Technical Tour of the DeepSeek Models from V3 to v3.2 (sebastianraschka.com) |
| 5 points by mzl 4 months ago | past | 1 comment |
|
| | Recommendations for Getting the Most Out of a Technical Book (sebastianraschka.com) |
| 2 points by naves 4 months ago | past |
|
| | A Technical Tour of the DeepSeek Models from V3 to v3.2 (sebastianraschka.com) |
| 8 points by giuliomagnifico 4 months ago | past |
|
| | Getting the Most Out of a Technical Book (sebastianraschka.com) |
| 4 points by quietlearning 5 months ago | past |
|
| | Beyond Standard LLMs (sebastianraschka.com) |
| 1 point by vismit2000 5 months ago | past |
|
| | Beyond Standard LLMs (sebastianraschka.com) |
| 1 point by ibobev 5 months ago | past |
|
| | A Researcher's Field Guide to Non-Standard LLM Architectures (sebastianraschka.com) |
| 2 points by ModelForge 5 months ago | past |
|
| | Understanding the 4 Main Approaches to LLM Evaluation (From Scratch) (sebastianraschka.com) |
| 1 point by ibobev 6 months ago | past |
|
| | Popular Attention Alternatives: GQA, MLA, SWA (sebastianraschka.com) |
| 4 points by ModelForge 6 months ago | past |
|
| | Multi-Head Latent Attention (sebastianraschka.com) |
| 4 points by ModelForge 6 months ago | past |
|
| | Understanding the 4 Main Approaches to LLM Evaluation (From Scratch) (sebastianraschka.com) |
| 2 points by ibobev 6 months ago | past |
|
| | LLM Evaluation from Scratch: Multiple Choice, Verifiers, Leaderboards, LLM Judge (sebastianraschka.com) |
| 4 points by ModelForge 6 months ago | past |
|
| | Understanding and Implementing Qwen3 from Scratch (sebastianraschka.com) |
| 1 point by ibobev 7 months ago | past |
|
| | GPT-OSS vs. Qwen3 and a detailed look how things evolved since GPT-2 (sebastianraschka.com) |
| 490 points by ModelForge 8 months ago | past | 97 comments |
|
| | From GPT-2 to GPT-OSS: Analyzing the Architectural Advances (sebastianraschka.com) |
| 3 points by mdp2021 8 months ago | past |
|
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| More |
