From 73109e7e88f21f04a8647af0feb1c9fbffdc0fd0 Mon Sep 17 00:00:00 2001 From: Tushar Chaturvedi <37372851+tushar-c@users.noreply.github.com> Date: Sun, 20 Oct 2024 23:00:42 +0530 Subject: [PATCH] Update 2024-10-19-Understanding-Language-:-Transformers-Part-1.md --- .../2024-10-19-Understanding-Language-:-Transformers-Part-1.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_posts/2024-10-19-Understanding-Language-:-Transformers-Part-1.md b/_posts/2024-10-19-Understanding-Language-:-Transformers-Part-1.md index 44f6ed12ee2cf..11e9bc47b15ed 100644 --- a/_posts/2024-10-19-Understanding-Language-:-Transformers-Part-1.md +++ b/_posts/2024-10-19-Understanding-Language-:-Transformers-Part-1.md @@ -1,6 +1,6 @@ ## Introduction -After some time away, we are back! This time, we are going to understand the idea of modelling human language through the framework of Machine Learning. More specifically, we are going to try to understand and implement the most widely known and the most commercialized method of application for this task is the Large Language Model. +After some time away, we are back! This time, we are going to understand the idea of modelling human language through the framework of Machine Learning. More specifically, in this first of a four-part series of blog posts, we are going to try to understand and implement the most widely known and the most commercialized method of application for this task is the Large Language Model. This is basically a term for a machine learning model having many parameters that attempts to model human (or natural) language.