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 similarity index 98% rename from content/notes/the machine learning industry is too focused on general task performance.md rename to content/notes/The machine learning industry is too focused on general task performance.md index a3af6a523..60ae15efb 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 @@ -5,4 +5,4 @@ However, the issue that arises with this approach is that while these models are Take the task of summarization as an example. It’s a popular machine learning task and models have become quite proficient at it, at least from a benchmark perspective. However, when these models summarize for users, the results often fall short. The reason for this is simple: the models don’t summarize things the way an individual user would. The key takeaways for a user would differ from the takeaways of the average internet user. -Therefore, a shift in focus towards user-specific task performance would provide a much more dynamic and realistic approach. This would not only cater to the individual needs of the user but also pave the way for more personalized and effective machine learning applications. \ No newline at end of file +Therefore, a shift in focus towards user-specific task performance would provide a much more dynamic and realistic approach. This would not only cater to the individual needs of the user but also pave the way for more personalized and effective machine learning applications.