Tag: models
-
Slashdot: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value
Source URL: https://hardware.slashdot.org/story/24/11/09/1853256/how-samsung-fell-behind-in-the-ai-boom—and-lost-126-billion-in-market-value?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Samsung Fell Behind in the AI Boom – and Lost $126 Billion in Market Value Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Samsung’s financial struggles and its failure to capitalize on the AI boom, particularly in the high-bandwidth memory (HBM) sector critical for AI…
-
Hacker News: Iterative α-(de)blending and Stochastic Interpolants
Source URL: http://www.nicktasios.nl/posts/iterative-alpha-deblending/ Source: Hacker News Title: Iterative α-(de)blending and Stochastic Interpolants Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reviews a paper proposing a method called Iterative α-(de)blending for simplifying the understanding and implementation of diffusion models in generative AI. The author critiques the paper for its partial clarity, discusses the…
-
Hacker News: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup
Source URL: https://hanlab.mit.edu/blog/svdquant Source: Hacker News Title: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the innovative SVDQuant paradigm for post-training quantization of diffusion models, which enhances computational efficiency by quantizing both weights and activations to…