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Add Generative AI Meets Julia #2919

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Add Generative AI Meets Julia #2919

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Add Generative AI Meets Julia
svilupp Dec 30, 2023
06795f5
Merge branch 'sindresorhus:main' into patch-1
svilupp Feb 14, 2024
aae33f7
Update item description
svilupp Feb 14, 2024
6b1e30b
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svilupp Feb 14, 2024
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2 changes: 2 additions & 0 deletions readme.md
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Expand Up @@ -108,6 +108,7 @@

## Contents

- [Contents](#contents)
- [Platforms](#platforms)
- [Programming Languages](#programming-languages)
- [Front-End Development](#front-end-development)
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- [Elm](https://github.com/sporto/awesome-elm#readme)
- [Erlang](https://github.com/drobakowski/awesome-erlang#readme)
- [Julia](https://github.com/svaksha/Julia.jl#readme) - High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
- [Generative AI Meets Julia](https://github.com/svilupp/awesome-generative-ai-meets-julia-language#readme) - Algorithms and models that leverage machine learning for generating new content, automating workflows, and extracting insights showcasing projects and resources that push the boundaries of what's possible.
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- [Generative AI Meets Julia](https://github.com/svilupp/awesome-generative-ai-meets-julia-language#readme) - Algorithms and models that leverage machine learning for generating new content, automating workflows, and extracting insights showcasing projects and resources that push the boundaries of what's possible.
- [Generative AI](https://github.com/svilupp/awesome-generative-ai-meets-julia-language#readme) - Algorithms and models that leverage machine learning for generating new content, automating workflows, and extracting insights showcasing projects and resources that push the boundaries of what's possible.

and the description is too long.

- [Lua](https://github.com/LewisJEllis/awesome-lua#readme)
- [C](https://github.com/inputsh/awesome-c#readme)
- [C/C++](https://github.com/fffaraz/awesome-cpp#readme) - General-purpose language with a bias toward system programming and embedded, resource-constrained software.
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