Tag: distributed training
-
Hacker News: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders
Source URL: https://github.com/PaulPauls/llama3_interpretability_sae Source: Hacker News Title: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a research project focused on the interpretability of the Llama 3 language model using Sparse Autoencoders (SAEs). This project aims to extract more clearly interpretable features from…
-
Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP
Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…
-
Simon Willison’s Weblog: NousResearch/DisTrO
Source URL: https://simonwillison.net/2024/Aug/27/distro/#atom-everything Source: Simon Willison’s Weblog Title: NousResearch/DisTrO Feedly Summary: NousResearch/DisTrO DisTrO stands for Distributed Training Over-The-Internet – it’s “a family of low latency distributed optimizers that reduce inter-GPU communication requirements by three to four orders of magnitude". This tweet from @NousResearch helps explain why this could be a big deal: DisTrO can increase…
-
Hacker News: DisTrO – a family of low latency distributed optimizers
Source URL: https://github.com/NousResearch/DisTrO Source: Hacker News Title: DisTrO – a family of low latency distributed optimizers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text refers to DisTrO, a system designed for optimizing distributed training processes in artificial intelligence environments. Its focus on reducing inter-GPU communication significantly enhances the efficiency and effectiveness of…