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Add Getting Started with Llama 3 Blog #23

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444 changes: 444 additions & 0 deletions blogs/artificial-intelligence/getting-started-with-llama-3/README.md

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16 changes: 16 additions & 0 deletions blogs/authors/garrett-byrd.md
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<head>
<meta charset="UTF-8">
<meta name="description" content="Garrett Byrd">
<meta name="keywords" content="AMD GPU, ROCm, blog, contributor, blog author">
</head>

(garrettbyrd)

```{image} ./data/Garrett-Byrd.png
:alt: Garrett
:class: bg-primary
:height: 250px
:align: left
```

Garrett Byrd is a research software engineer at Fluid Numerics. He received his Bachelor of Science degree in Mathematics in 2022 and his Master of Science degree in Applied Mathematics from the University of Tennessee in 2024. Garrett's academic research focused on computational fluid dynamics and ground-up implementations for numerical partial differential equations. His current research focuses on the development and benchmarking of GPU kernels as well as the development and communication of emerging machine learning techniques. Garrett is an advocate for free and open-source software.
16 changes: 16 additions & 0 deletions blogs/authors/joe-schoonover.md
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<head>
<meta charset="UTF-8">
<meta name="description" content="Joe Schoonover">
<meta name="keywords" content="AMD GPU, ROCm, blog, contributor, blog author">
</head>

(joeschoonover)

```{image} ./data/Joe-Schoonover.png
:alt: Joe
:class: bg-primary
:height: 250px
:align: left
```

Joe Schoonover is a scientist and research software engineer at Fluid Numerics. He received a Bachelor's of Science degree in Applied Mathematics & Physics in 2011 and a PhD in Geophysical Fluid Dynamics in 2016 from Florida State University. From 2016-2017, Dr. Schoonover held a post-doctoral research position at Los Alamos National Laboratory's Center for Nonlinear Studies, where he studied topographic wave arrest as a mechanism for western boundary current separation, transport operator diagnosis through impulse functions and graph theory, climate model equilibration acceleration strategies, and high performance computing. Joe's current research focus is in spectral element methods, physical oceanography, and environmental fluid dynamics and he has a continued interest in portable GPU programming and scientific application modernization.