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@@ -51,7 +51,7 @@ You will also **learn** to **leverage MLOps best practices**, such as experiment
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-[7. Install & Usage](#install--usage)
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-[8. Meet your teachers!](#meet-your-teachers)
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-[9. License](#license)
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-[10. 🏆 Contribution](#contribution)
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-[10. 🏆 Contributors](#🏆-contributors)
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-[11. Sponsors](#sponsors)
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## The architecture of the LLM twin is split into 4 Python microservices:
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This course is an open-source project released under the MIT license. Thus, as long you distribute our LICENSE and acknowledge our work, you can safely clone or fork this project and use it as a source of inspiration for whatever you want (e.g., university projects, college degree projects, personal projects, etc.).
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## 🏆 Contribution
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## 🏆 Contributors
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A big "Thank you 🙏" to all our contributors! This course is possible only because of their efforts.
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@@ -237,31 +237,31 @@ Also, another big "Thank you 🙏" to all our sponsors who supported our work an
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