From 8c1d496dcd2bf07a6293e8c89b04f58a538a19fb Mon Sep 17 00:00:00 2001 From: vintro Date: Thu, 25 Jan 2024 13:42:13 -0500 Subject: [PATCH] typo in note --- ...rning industry is too focused on general task performance.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/notes/The machine learning industry is too focused on general task performance.md b/content/notes/The machine learning industry is too focused on general task performance.md index 6b00d111d..8965fa308 100644 --- a/content/notes/The machine learning industry is too focused on general task performance.md +++ b/content/notes/The machine learning industry is too focused on general task performance.md @@ -4,4 +4,4 @@ However, general capability doesn't necessarily translate to completing tasks as Take summarization. It’s a popular machine learning task at which models have become quite proficient, at least from a benchmark perspective. However, when models summarize for users with a pulse, they fall short. The reason is simple: the models don’t know this individual. The key takeaways for a specific user differ dramatically from the takeaways _any possible_ internet user _would probably_ note. -So a shift in focus toward user-specific task performance would provide a much more dynamic & realistic approach. Catering to individual needs & paving she way for more personalized & effective ML applications. +So a shift in focus toward user-specific task performance would provide a much more dynamic & realistic approach. Catering to individual needs & paving the way for more personalized & effective ML applications.