Update README.md

README.md

@@ -11,14 +11,16 @@ base_model:
 Teaching is a lot like herding cats or playing whack-a-mole. Everyone learns in different styles, at different rates, and has different questions. 
 While there is much to be said for the valiant effort our teachers gives in addressing all of these and more within a classroom setting, teachers are finite.
 Students need more help than teachers can provide, at times that teachers cannot provide.
-Thus enters the role of tutors, but these are often scheduled and for a specific subject. What heppens when a student needs help outside of their normal scheduled programming?
-Enter the rise of AI tutors. AI tutors can be access at any time, for any subject.
-We do want to ensure that our students are getting accurate information and not a hallucination that will steer our student down a wrong path of knowledge.
+Thus enters the role of tutors, but these are often scheduled and for a specific subject. 
+What happens when a student needs help outside of their normal scheduled programming?
+Enter the rise of AI tutors. AI tutors can be accessed at any time, for any subject.
+We do want to ensure that our students are getting accurate information and not a hallucination that will steer our students down a wrong path of knowledge.
 This finetuned LLM, seeks to do just that, specifically for AP Statistics.
 Due to the broad scope of AP Statistics and the text-only nature of this LLM, it was necessary to narrow down the scope of this model.
 The chosen task could be done text only (mostly) and is a super important topic on the AP exam: inference.
 Inference procdures count for about 15% of the mulitple choice and are guaranteed to be one full free response question (in the vain of the example below) plus the possibility of more.
 That makes this topic within AP Statistics perfect for a finetune model to help students understand the topic and score higher on the AP exam.
+THis model aims to help students fill the gaps in their knowledge to understand the topic of inference better.
 
 ## Data
 The dataset used in training consists of 1014 question-answer pairs on the topic of inference for the AP Statistics exam created by the owner of this model.