Controlling Reasoning Effort in LLMs (magazine.sebastianraschka.com) | HN Screenshots

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Screenshot of magazine.sebastianraschka.com: Controlling Reasoning Effort in LLMs

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Screenshot of magazine.sebastianraschka.com: Understanding Reasoning LLMs

Understanding Reasoning LLMs (magazine.sebastianraschka.com)

442 points by sebg 1 year ago | 163 comments

Sebastian Raschka's Ahead of AI newsletter article explaining the four main approaches to building and refining reasoning LLMs.

reasoning-models llm inference-time-scaling reinforcement-learning

Screenshot of magazine.sebastianraschka.com: LLM architecture comparison

LLM architecture comparison (magazine.sebastianraschka.com)

357 points by mdp2021 1 year ago | 23 comments

Sebastian Raschka's Ahead of AI article comparing the architectures of modern LLMs, from DeepSeek-V3 to Kimi K2.

llm-architecture deepseek-v3 kimi-k2 transformers

Screenshot of magazine.sebastianraschka.com: Training and aligning LLMs with RLHF and RLHF alternatives

Training and aligning LLMs with RLHF and RLHF alternatives (magazine.sebastianraschka.com)

82 points by rasbt 3 years ago | 10 comments

Screenshot of magazine.sebastianraschka.com: KV Sharing, MHC, and Compressed Attention

KV Sharing, MHC, and Compressed Attention (magazine.sebastianraschka.com)

24 points by gmays 5 months ago | 1 comments

Screenshot of magazine.sebastianraschka.com: Understanding Llama 2 and the New Code Llama LLMs

Understanding Llama 2 and the New Code Llama LLMs (magazine.sebastianraschka.com)

135 points by rasbt 3 years ago | 25 comments

Screenshot of magazine.sebastianraschka.com: Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch

Implementing Weight-Decomposed Low-Rank Adaptation (DoRA) from Scratch (magazine.sebastianraschka.com)

85 points by rasbt 2 years ago | 10 comments