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Ch06 and Ch07 videos (#613)

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* Ch06 and Ch07 videos

* exclude google scholar from link checking
This commit is contained in:
Sebastian Raschka
2025-04-12 14:51:02 -05:00
committed by GitHub
parent 74b9f1fcde
commit 92b308e512
3 changed files with 22 additions and 3 deletions
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3
.github/workflows/check-links.yml vendored
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@@ -37,4 +37,5 @@ jobs:
--check-links-ignore "https://code.visualstudio.com/*" \
--check-links-ignore "https://arxiv.org/*" \
--check-links-ignore "https://ai.stanford.edu/~amaas/data/sentiment/" \
--check-links-ignore "https://x.com/*"
--check-links-ignore "https://x.com/*" \
--check-links-ignore "https://scholar.google.com/*"

11
ch06/README.md
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@@ -10,4 +10,13 @@
- [02_bonus_additional-experiments](02_bonus_additional-experiments) includes additional experiments (e.g., training the last vs first token, extending the input length, etc.)
- [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
- [04_user_interface](04_user_interface) implements an interactive user interface to interact with the pretrained LLM
- [04_user_interface](04_user_interface) implements an interactive user interface to interact with the pretrained LLM
<br>
<br>
[![Link to the video](https://img.youtube.com/vi/5PFXJYme4ik/0.jpg)](https://www.youtube.com/watch?v=5PFXJYme4ik)

11
ch07/README.md
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@@ -12,4 +12,13 @@
- [03_model-evaluation](03_model-evaluation) contains utility code for evaluating instruction responses using a local Llama 3 model and the GPT-4 API
- [04_preference-tuning-with-dpo](04_preference-tuning-with-dpo) implements code for preference finetuning with Direct Preference Optimization (DPO)
- [05_dataset-generation](05_dataset-generation) contains code to generate and improve synthetic datasets for instruction finetuning
- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
- [06_user_interface](06_user_interface) implements an interactive user interface to interact with the pretrained LLM
<br>
<br>
[![Link to the video](https://img.youtube.com/vi/4yNswvhPWCQ/0.jpg)](https://www.youtube.com/watch?v=4yNswvhPWCQ)