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You are here		khromov.se How Chain of Thought Prompting Boosts LLM Performance - Stanislav Khromov
\|	\|	cset.georgetown.edu The Surprising Power of Next Word Prediction: Large Language Models Explained, Part 1 \| Center for Security and Emerging Tech...	6.9 parsecs away Travel
\|	\|	Place to find CSET's publications, reports, and people	6.9 parsecs away Travel
\|	\|	electricarchaeology.ca The Large Language Model Sea Shanty \| Electric Archaeology	4.3 parsecs away Travel
\|	\|	Like everyone else, I'm playing with GPT3 chat. I asked it to generate a sea shanty that explains how large language models work, in the style of Stan Rogers. Prompt: Explain large language models in the style of a Stan Rogers sea-shanty. Completion: Verse 1: Hark ye sailors, come listen to me I'll sing a...	4.3 parsecs away Travel
\|	\|	blog.georgeshakan.com Temperature in Natural Language Processing \| George Shakan	6.9 parsecs away Travel
\|	\|	In Machine Learning, and in particular Generative AI, temperature is a useful hyperparameter for tuning model outputs. In this post, we will discuss the following. Temperature is a parameter developers can use to alter outputs from Large Language Models With a higher temperature we get more creative outputs. Why changing the temperature is useful. Let's...	6.9 parsecs away Travel
\|	\|	somosviajeros.com Guía de Taiwan	13.0 parsecs away Travel
\|		Guía de Taiwan con mis post de este viaje a una isla en medio de un conflicto geopolítico con China y con gente maravillosa	13.0 parsecs away Travel