I've had a chance to read a few papers, books, and blog posts to wrap my head around new AI models. I'm going to use this blog post as a way of tracking every thing I've read and will eventually summarize a lot of it for my understanding.
<ul>
<li><a target="_blank" href="http://neuralnetworksanddeeplearning.com/chap1.html">Neural Networks and Deep Learning</a>
</li>
<li><a target="_blank" href="https://web.stanford.edu/~surag/posts/alphazero.html">A Simple Alpha(Go) Zero Tutorial</a>
</li>
<li><a target="_blank" href="https://jalammar.github.io/illustrated-transformer/">The Illustrated Transformer</a>
</li>
<li><a target="_blank" href="https://arxiv.org/pdf/1312.6114.pdf">Auto-Encoding Variational Bayes</a>
</li>
<li><a target="_blank" href="https://arxiv.org/pdf/2006.11239.pdf">Denoising Diffusion Probabilistic Models</a>
<ul>
<li><a target="_blank" href="https://huggingface.co/blog/annotated-diffusion">https://huggingface.co/blog/annotated-diffusion</a></li>
</ul>
</li>
<li><a target="_blank" href="https://arxiv.org/abs/2112.10741">GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a>
</li>
<li><a target="_blank" href="https://ai.facebook.com/research/publications/segment-anything/">Segment Anything Model</a>
</li>
<li><a target="_blank" href="https://arxiv.org/pdf/2103.00020.pdf">Learning Transferrable Visual Models From Natural Language Supervision</a>
</li>
<li><a target="_blank" href="https://arxiv.org/pdf/2009.01325.pdf">Learning to Summarize From Human Feedback</a>
</li>
<li><a target="_blank" href="https://arxiv.org/pdf/2102.12092.pdf">Zero-Shot Text-to-Image Generation</a>
</li>
<li><a target="_blank" href="https://arxiv.org/abs/2211.05100">BLOOM: A 176B-Parameter Open-Access Multilingual Language Model</a>
</li>
</ul>

I've had a chance to read a few papers, books, and blog posts to wrap my head around new AI models. I'm going to use this blog post as a way of tracking every thing I've read and will eventually summarize a lot of it for my understanding.

* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/chap1.html)
    
* [A Simple Alpha(Go) Zero Tutorial](https://web.stanford.edu/~surag/posts/alphazero.html)
    
* [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/)
    
* [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf)
    
* [Denoising Diffusion Probabilistic Models](https://arxiv.org/pdf/2006.11239.pdf)
    
    * [https://huggingface.co/blog/annotated-diffusion](https://huggingface.co/blog/annotated-diffusion)
        
* [GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models](https://arxiv.org/abs/2112.10741)
    
* [Segment Anything Model](https://ai.facebook.com/research/publications/segment-anything/)
    
* [Learning Transferrable Visual Models From Natural Language Supervision](https://arxiv.org/pdf/2103.00020.pdf)
    
* [Learning to Summarize From Human Feedback](https://arxiv.org/pdf/2009.01325.pdf)
    
* [Zero-Shot Text-to-Image Generation](https://arxiv.org/pdf/2102.12092.pdf)
    
* [BLOOM: A 176B-Parameter Open-Access Multilingual Language Model](https://arxiv.org/abs/2211.05100)

Abraham Elmahrek's Blog

Abraham Elmahrek's Blog

Brain Dump: Foundation models and future AI infrastructure