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 jalammar.github.io
How GPT3 Works - Visualizations and Animations - Jay Alammar - Visualizing machine learning one concept at a time.
| | 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?
| | blog.research.google
A decoder-only foundation model for time-series forecasting Google Research Blog
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| | [AI summary] Google Research introduces TimesFM, a decoder-only foundation model for time-series forecasting with zero-shot capabilities, pre-trained on 100 billion real-world time-points, outperforming existing methods in various domains.
| | vickiboykis.com
Some notes on the Stable Diffusion safety filter | ??? Vicki Boykis ???
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| | How deep learning models are moderated
| | cprimozic.net
Exploring Neural Networks Visually in the Browser - Casey Primozic's Homepage
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| Introduces a browser-based sandbox for building, training, visualizing, and experimenting with neural networks. Includes background information on the tool, usage information, technical implementation details, and a collection of observations and findings from using it myself.