• OpenAI rolls out new text-generating models that it claims are less toxic | VentureBeat
• GitHub – ahmetb/kubectl-foreach: Run kubectl commands in all/some contexts in parallel (similar to GNU xargs+parallel)
  Run kubectl commands in all/some contexts in parallel (similar to GNU xargs+parallel)
• Stability AI builds foundation models on Amazon SageMaker | AWS Machine Learning Blog
• Platform stability.ai
• LAION-5B: A NEW ERA OF OPEN LARGE-SCALE MULTI-MODAL DATASETS | LAION
• DreamBooth fine-tuning example
  DreamBooth is a method to personalize text-to-image models like stable diffusion given just a few (3~5) images of a subject
• Stable Diffusion launch announcement — Stability.Ai
• Stable Diffusion with Core ML on Apple Silicon – Apple Machine Learning Research
• GitHub – huggingface/diffusers: ???? Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
• GitHub – apple/ml-stable-diffusion: Stable Diffusion with Core ML on Apple Silicon
• Clean Energy Leadership Institute
• Keeping CALM: When Distributed Consistency Is Easy | September 2020 | Communications of the ACM
• What made 'Andor' so good?
  A chat with Tom Scocca of Popula
• Scanpy – Single-Cell Analysis in Python — Scanpy 1.9.1 documentation
  Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, trajectory inference and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

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