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Qwen3 and evaluation bonus materials (#869)
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README.md

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@@ -194,6 +194,17 @@ Several folders contain optional materials as a bonus for interested readers:
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- [Direct Preference Optimization (DPO) for LLM Alignment](ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb)
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- [Building a User Interface to Interact With the Instruction Finetuned GPT Model](ch07/06_user_interface)
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More bonus material from the [reasoning from scratch](https://github.com/rasbt/reasoning-from-scratch) repository:
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- **Qwen3 (from scratch) basics**
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- [Qwen3 source code walkthrough](https://github.com/rasbt/reasoning-from-scratch/blob/main/chC/01_main-chapter-code/chC_main.ipynb)
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- [Optimized Qwen3](https://github.com/rasbt/reasoning-from-scratch/tree/main/ch02/03_optimized-LLM)
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- **Evaluation**
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- [Verifier-based evaluation (MATH-500)](https://github.com/rasbt/reasoning-from-scratch/tree/main/ch03)
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- [Multiple-choice evaluation (MMLU)](https://github.com/rasbt/reasoning-from-scratch/blob/main/chF/02_mmlu)
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- [LLM leaderboard evaluation](https://github.com/rasbt/reasoning-from-scratch/blob/main/chF/03_leaderboards)
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- [LLM-as-a-judge evaluation](https://github.com/rasbt/reasoning-from-scratch/blob/main/chF/04_llm-judge)
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<br>
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&nbsp;
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