Introduction to NLP and LLMs 2024
Introduction to the fundamental concepts of Natural Language Processing (NLP) and advanced language model technologies.
- Documentation: https://nlp2024.jeju.ai
- GitHub: https://github.com/entelecheia/intronlp-2024
- PyPI: https://pypi.org/project/intronlp-2024
This course introduces the fundamental concepts of Natural Language Processing (NLP) and advanced language model technologies. Students will learn through hands-on practice, starting from basic text processing to advanced language model API utilization and NLP application development. The course emphasizes the use of Large Language Models (LLMs) and prompt engineering, aiming to develop practical skills in applying cutting-edge NLP technologies.
Changelog
See the CHANGELOG for more information.
Contributing
Contributions are welcome! Please see the contributing guidelines for more information.
License
This project is released under the CC-BY-4.0 License.
Metadata
Release files for intronlp-2024 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| intronlp_2024-0.6.0.tar.gz | 9.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| intronlp_2024-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.0 kB
Release files / intronlp_2024-0.6.0.tar.gz
| Download URL | intronlp_2024-0.6.0.tar.gz |
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| Size | 9.9 kB |
| Tags | Source |
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Release files / intronlp_2024-0.6.0-py3-none-any.whl
| Download URL | intronlp_2024-0.6.0-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
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