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 jalammar.github.io
How GPT3 Works - Visualizations and Animations - Jay Alammar - Visualizing machine learning one concept at a time.
| | vickiboykis.com
Some notes on the Stable Diffusion safety filter | Vicki Boykis
4.3 parsecs away

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| | How deep learning models are moderated
| | blog.research.google
A decoder-only foundation model for time-series forecasting Google Research Blog
4.5 parsecs away

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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.
| | zackproser.com
How are embeddings models trained for RAG?
4.1 parsecs away

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| | Embeddings models are the secret sauce that makes RAG work. How are THEY made?
| | cprimozic.net
Generating 4K PBR Textures Using Stable Diffusion XL :: Casey Primozic's Notes
20.3 parsecs away

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| I'm picking back up the work that I started last year building 3D scenes and sketches with Three.JS. At that time, it was just after AI image generators like DALL-E and Stable Diffusion were really taking off. I had success running Stable Diffusion locally and using it to generate textures for terrain, buildings, and other environments in the 3D worlds I was building. I was using Stable Diffusion v1 back then.