Outer Web | Explore

Explore >> Select a destination

You are here		www.alignmentforum.org New Scaling Laws for Large Language Models - AI Alignment Forum
\|	\|	blog.moonglow.ai Three Kuhnian Revolutions in ML Training	1.9 parsecs away Travel
\|	\|	Parameters and data. These are the two ingredients of training ML models. The total amount of computation ("compute") you need to do to train a model is proportional to the number of parameters multiplied by the amount of data (measured in "tokens"). Four years ago, it was well-known that if	1.9 parsecs away Travel
\|	\|	www.lesswrong.com OpenAI's Alignment Plans - LessWrong	2.3 parsecs away Travel
\|	\|	Our alignment research aims to make artificial general intelligence (AGI) aligned with human values and follow human intent. We take an iterative, em...	2.3 parsecs away Travel
\|	\|	www.lesswrong.com New Scaling Laws for Large Language Models - LessWrong	0.0 parsecs away Travel
\|	\|	On March 29th, DeepMind published a paper, "Training Compute-Optimal Large Language Models", that shows that essentially everyone -- OpenAI, DeepMind...	0.0 parsecs away Travel
\|	\|	simonwillison.net Web LLM runs the vicuna-7b Large Language Model entirely in your browser, and it's very impressive	21.0 parsecs away Travel
\|		A month ago I asked Could you train a ChatGPT-beating model for $85,000 and run it in a browser?. $85,000 was a hypothetical training cost for LLaMA 7B plus Stanford ...	21.0 parsecs away Travel