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You are here		blog.moonglow.ai Three Kuhnian Revolutions in ML Training
\|	\|	bdtechtalks.com Understanding the impact of open-source language models - TechTalks	2.4 parsecs away Travel
\|	\|	Cerebras Systems CEO Andrew Feldman explains the impact of open-source large language models (LLM) on the broader AI community.	2.4 parsecs away Travel
\|	\|	deepmind.google An empirical analysis of compute-optimal large language model training - Google DeepMind	0.4 parsecs away Travel
\|	\|	We ask the question: "What is the optimal model size and number of training tokens for a given compute budget?" To answer this question, we train models of various sizes and with various numbers...	0.4 parsecs away Travel
\|	\|	www.alignmentforum.org New Scaling Laws for Large Language Models - AI Alignment Forum	1.9 parsecs away Travel
\|	\|	On March 29th, DeepMind published a paper, "Training Compute-Optimal Large Language Models", that shows that essentially everyone -- OpenAI, DeepMind...	1.9 parsecs away Travel
\|	\|	www.sbrebrown.com Inks \| Hey there!	6.2 parsecs away Travel
\|		[AI summary] A blog post discussing fountain pens, inks, and related topics with promotional content and archives.	6.2 parsecs away Travel