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minor DPO fixes (#298)
* fixed issues, updated .gitignore * added closing paren * fixed CEL spelling * fixed more minor issues * Update ch07/01_main-chapter-code/ch07.ipynb * Update ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb * Update ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb * Update ch07/04_preference-tuning-with-dpo/dpo-from-scratch.ipynb --------- Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com>
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@@ -2722,7 +2722,7 @@
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"- I hope you enjoyed this journey of implementing an LLM from the ground up and coding the pretraining and finetuning functions\n",
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"- In my opinion, implementing an LLM from scratch is the best way to understand how LLMs work; I hope you gained a better understanding through this approach\n",
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"- While this book serves educational purposes, you may be interested in using different and more powerful LLMs for real-world applications\n",
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" - For this, you may consider popular tools such as axolotl ([https://github.com/OpenAccess-AI-Collective/axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)) or LitGPT ([https://github.com/Lightning-AI/litgpt](https://github.com/Lightning-AI/litgpt), which I help developing"
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" - For this, you may consider popular tools such as axolotl ([https://github.com/OpenAccess-AI-Collective/axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)) or LitGPT ([https://github.com/Lightning-AI/litgpt](https://github.com/Lightning-AI/litgpt)), which I help developing"
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]
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},
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{
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@@ -2762,7 +2762,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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"version": "3.10.11"
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}
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},
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"nbformat": 4,
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