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Ch06 and Ch07 videos (#613)
* Ch06 and Ch07 videos * exclude google scholar from link checking
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.github/workflows/check-links.yml

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--check-links-ignore "https://code.visualstudio.com/*" \
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--check-links-ignore "https://arxiv.org/*" \
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--check-links-ignore "https://ai.stanford.edu/~amaas/data/sentiment/" \
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--check-links-ignore "https://x.com/*"
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--check-links-ignore "https://x.com/*" \
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--check-links-ignore "https://scholar.google.com/*"

ch06/README.md

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- [02_bonus_additional-experiments](02_bonus_additional-experiments) includes additional experiments (e.g., training the last vs first token, extending the input length, etc.)
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- [03_bonus_imdb-classification](03_bonus_imdb-classification) compares the LLM from chapter 6 with other models on a 50k IMDB movie review sentiment classification dataset
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- [04_user_interface](04_user_interface) implements an interactive user interface to interact with the pretrained LLM
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- [04_user_interface](04_user_interface) implements an interactive user interface to interact with the pretrained LLM
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<br>
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<br>
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[![Link to the video](https://img.youtube.com/vi/5PFXJYme4ik/0.jpg)](https://www.youtube.com/watch?v=5PFXJYme4ik)

ch07/README.md

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- [03_model-evaluation](03_model-evaluation) contains utility code for evaluating instruction responses using a local Llama 3 model and the GPT-4 API
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- [04_preference-tuning-with-dpo](04_preference-tuning-with-dpo) implements code for preference finetuning with Direct Preference Optimization (DPO)
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- [05_dataset-generation](05_dataset-generation) contains code to generate and improve synthetic datasets for instruction finetuning
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- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
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- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
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<br>
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<br>
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[![Link to the video](https://img.youtube.com/vi/4yNswvhPWCQ/0.jpg)](https://www.youtube.com/watch?v=4yNswvhPWCQ)

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