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Sebastianraschka (auto-discovered)

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22:33
2026-07-09
sebastianraschka.com
large-language-models

GPT 5.6 Has 72 Possible Configurations. What's A Good Default?

OpenAI's GPT 5.6 release offers 72 possible configurations across model size, reasoning effort, task mode, and speed settings, leaving users to determine optimal defaults. The combinations span three …

08:16
2026-06-30
sebastianraschka.com
artificial-intelligence

Build a Reasoning Model From Scratch Is Out

Sebastian Raschka announced the release of his new book "Build a Reasoning Model (From Scratch)", a 440-page full-color guide that teaches readers how to implement modern reasoning techniques on a Qwe…

11:21
2026-06-27
sebastianraschka.com
ai-agents

Using Local Coding Agents

A new tutorial demonstrates how to set up a fully local coding agent using open-weight LLMs and open-source harnesses as an alternative to subscription-based services like Claude Code and Codex. The l…

09:42
2026-06-26
sebastianraschka.com
large-language-models

Local Open-Weight LLMs in Coding Harnesses

Local open-weight large language models (LLMs) with 30 billion parameters and a mixture-of-experts architecture achieve roughly 40 tokens per second on a Mac or DGX Spark, matching GPT 5.5 Pro subscri…

09:16
2026-06-18
sebastianraschka.com
large-language-models

GLM-5.2 and IndexShare for Long-Context Sparse Attention

Z.ai released GLM-5.2, an open-weight model that the author calls the best open-weight model available. The model introduces IndexShare, a cross-layer reuse trick for DeepSeek Sparse Attention that re…

08:13
2026-06-17
sebastianraschka.com
artificial-intelligence

VibeThinker-3B and the Strength of Post-Training

WeiboAI released VibeThinker-3B, a 3.09B-parameter coding and reasoning model built on Qwen2.5-Coder-3B that achieves performance close to much larger systems through extensive post-training, includin…

11:16
2026-06-06
sebastianraschka.com
large-language-models

LLM Research Papers: The 2026 List (January to May)

Researchers Sebastian Raschka released a curated list of LLM research papers from January to May 2026, focusing on reasoning models, reinforcement learning, and efficient inference. The list, organize…

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