🍵☕️ Edge#223: Different Types of Diffusion
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Enjoy the learning! 💡 ML Concept of the Day: Different Types of DiffusionIn Edge#221, we introduced the concept of diffusion as one of the foundational methods of the new generation of text-to-image generation models. The essence of diffusion is introducing Gaussian noise into an input image and then training a model to reconstruct the original image from the noise. While the principles of diffusion techniques are relatively consistent, there are different variations that have been applied in modern text-to-image models. Let’s explore them:... Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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🤖➕👨💻Human-AI Collaborative Writing
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Weekly news digest curated by the industry insiders
📝 Guest post: How to Write Better Annotation Guidelines for Human Labelers: 4 Top Tips*
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In this guest post, Superb AI discusses the importance of manual annotation or the direct involvement of human labelers and shares 4 great tips on how to write better annotation guidelines for human
📺 Edge#222: Inside Axion, The Feature Store Architecture Powering ML Pipelines at Netflix
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🧪🧪 Edge#221: What are Diffusion Models
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+ Google's Imagen; +MindsEye
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