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Madjakul committed Nov 8, 2024
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2 changes: 1 addition & 1 deletion README.md
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1. Recap on Deep Learning & basic NLP ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course1_recap.pdf) / [lab session](https://colab.research.google.com/drive/1_QzQBdP289benS8Uo3yPQmtXoM-f80-n?usp=sharing))
2. Tokenization ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course2_tokenization.pdf) / [lab session](https://colab.research.google.com/drive/1xEKz_1LcnkfcEenukIGCrk-Nf_5Hb19s?usp=sharing))
3. Language Modeling ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course3_lm.pdf) / lab session)
3. Language Modeling ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course3_lm.pdf) / [lab session](https://colab.research.google.com/drive/1QmVOWC1oB206PmOBn8j0EF54laSh3BBd?usp=sharing))
4. NLP without 2048 GPUs ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course4_efficiency.pdf) / lab session)
5. Language Models at Inference Time ([slides](https://raw.githubusercontent.com/NathanGodey/AdvancedNLP/main/slides/pdf/course5_inference.pdf) / lab session)
6. Handling the Risks of Language Models ([slides](https://github.com/NathanGodey/AdvancedNLP/raw/main/slides/pdf/course6_risks.pdf) / lab session)
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4 changes: 2 additions & 2 deletions markdown/course3_lm.md
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- A useful evaluation metric: ***Perplexity***
- Defined as:
$$
ppl(T_{\theta}; w_1...w_n) = \sqrt[n]{\frac{1}{P_{\theta}(w_1...w_n)}}
ppl(T_{\theta}; w_1...w_n) = \exp \left( -\frac{1}{n}\sum_{t=1}^{n}\log P_{\theta}(w_t | w_{<t}) \right)
$$

- Other metrics: accuracy, f1-score, ...
- Other metrics: accuracy, MAUVE, ...

---
### Zero-shot evaluation
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