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brandinho.github.io | ||
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jaykmody.com
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| | | | | [AI summary] This technical blog post introduces speculative sampling, a technique using two language models to accelerate text generation, including an overview, algorithmic details, complexity analysis, and empirical speedup results compared to standard autoregressive sampling. | |
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aakinshin.net
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| | | | | I have already discussed the concept of the quantile absolute deviation in several previous posts. In this post, we derive the equation for the relative statistical efficiency of the quantile absolute deviation against the standard deviation under the norma... | |
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yang-song.net
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| | | | | This blog post focuses on a promising new direction for generative modeling. We can learn score functions (gradients of log probability density functions) on a large number of noise-perturbed data distributions, then generate samples with Langevin-type sampling. The resulting generative models, often called score-based generative models, has several important advantages over existing model families: GAN-level sample quality without adversarial training, flexible model architectures, exact log-likelihood ... | |
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www.lesswrong.com
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| | | This blog post is largely based on an EMNLP paper with Ethan Perez and Chris Buckley. It also benefited from discussions with and comments from Hady... | ||
