Tag: EU
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Hacker News: Mirror, Mirror on the Wall, What Is the Best Topology of Them All?
Source URL: https://cacm.acm.org/research-highlights/technical-perspective-mirror-mirror-on-the-wall-what-is-the-best-topology-of-them-all/ Source: Hacker News Title: Mirror, Mirror on the Wall, What Is the Best Topology of Them All? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the critical nature of infrastructure design for large-scale AI systems, particularly focusing on network topologies that support specialized AI workloads. It introduces the…
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Hacker News: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability
Source URL: https://adamkarvonen.github.io/machine_learning/2024/06/11/sae-intuitions.html Source: Hacker News Title: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses Sparse Autoencoders (SAEs) and their significance in interpreting machine learning models, particularly large language models (LLMs). It explains how SAEs can provide insights into the functioning of…
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The Register: Google offered millions to ally itself with trade body fighting Microsoft
Source URL: https://www.theregister.com/2024/11/28/google_offered_millions_to_cispe/ Source: The Register Title: Google offered millions to ally itself with trade body fighting Microsoft Feedly Summary: El Reg has seen the presentation to CISPE members which sources say was intended to keep the lawsuit over licensing alive Exclusive Google Cloud dangled hundreds of million of euros worth of financial incentives to…
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Hacker News: A Deep Dive into DDPMs
Source URL: https://magic-with-latents.github.io/latent/posts/ddpms/part3/ Source: Hacker News Title: A Deep Dive into DDPMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text delves into the mathematical and algorithmic underpinnings of Diffusion Models (DDPMs) for generating images, focusing on the forward and reverse processes involved in sampling from the distributions. It highlights both the complications…