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 jalammar.github.io
How GPT3 Works - Visualizations and Animations - Jay Alammar - Visualizing machine learning one concept at a time.
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | vickiboykis.com
Some notes on the Stable Diffusion safety filter | ??? Vicki Boykis ???
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| | How deep learning models are moderated
| | zackproser.com
How are embeddings models trained for RAG?
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| | Embeddings models are the secret sauce that makes RAG work. How are THEY made?
| | algorithmsoup.wordpress.com
My favorite example of: the probabilistic method - Algorithm Soup
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| The ``probabilistic method'' is the art of applying probabilistic thinking to non-probabilistic problems. Applications of the probabilistic method often feel like magic. Here is my favorite example: Theorem (Erdös, 1965). Call a set $latex {X}&fg=000000$ sum-free if for all $latex {a, b \in X}&fg=000000$, we have $latex {a + b \not\in X}&fg=000000$. For any finite...