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Total Size:
7.6 MB
Info Hash:
9DE32B7C8F0AB57C8D1A726DA8751D36F99C4787
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Added:
Sept. 1, 2025, 10:56 a.m.
Stats:
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(Last updated: Sept. 1, 2025, 10:57 a.m.)
| File | Size |
|---|---|
| Raschka S. Build a Reasoning Model (From Scratch) MEAP 2025.pdf | 7.6 MB |
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14.4 MB
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2024-02-22
| Uploaded by indexFroggy | Size 14.4 MB | Health [ 16 /7 ] | Added 2024-02-22 |
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18.9 MB
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| Uploaded by indexFroggy | Size 18.9 MB | Health [ 38 /4 ] | Added 2024-09-12 |
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SOURCE: Raschka S. Build a Reasoning Model (From Scratch) MEAP 2025
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MEDIAINFO
Textbook in PDF format Understand how LLMs reason by creating your own reasoning model from scratch. In the book "Building a Reasoning Model from Scratch", you will step-by-step build a working reasoning model on top of a compact pre-trained LLM. Your mentor, Sebastian Raschka, author of the bestseller Build a Large Language Model (From Scratch), guides you through the entire process: from basic architecture to practical improvements, with clear explanations and applied code. You will learn to: – implement key improvements for reasoning in LLM; – evaluate models using expert judgments and benchmarks; – enhance the ability to reason without retraining weights; – connect external tools (e.g., calculator) through RL; – apply knowledge distillation from larger reasoning models; – understand and build a complete development pipeline for reasoning models. Reasoning models break down tasks into steps and provide more reliable answers in mathematics, logic, and programming - an approach already used in leading systems like Grok 4 and GPT-5. This course demystifies the process: you will start with a small foundational LLM, incrementally add reasoning mechanisms, learn to measure real quality improvements, and then further enhance it using non-training methods and RL. By the end, you will have a compact but capable reasoning stack, created by your own hands
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