From 81d604ecc9679ff529c78dc86934a51930661f02 Mon Sep 17 00:00:00 2001
From: ajaxz <160466696+siddhantjagdish@users.noreply.github.com>
Date: Sun, 28 Jul 2024 18:02:41 +0530
Subject: [PATCH] Update README.md

typo fixes
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 5933eb5..9c591db 100644
--- a/README.md
+++ b/README.md
@@ -61,7 +61,7 @@ Thus, enhancing overall academic performance and confidence of students
 
 ## How It Works!
 
-padh.AI is built using Flutter for the frontend, FastAPI for the backend, OpenAI's CPT-3.5 turbo for querying, FAISS (Facebook AI Similarity Search) library in python for RAG (Retrieval Augmented Generation) and Firebase for authentication. 
+padh.AI is built using Flutter for the frontend, FastAPI for the backend, OpenAI's GPT-3.5 turbo for querying, FAISS (Facebook AI Similarity Search) library in python for RAG (Retrieval Augmented Generation) and Firebase for authentication. 
 Here's how it works:
 
 1. **User Authentication:**
@@ -80,7 +80,7 @@ Here's how it works:
 
 ## Tech-Used
 
-- **Frontend:** Flutter - An open source cross-platform UI framework, using which the beautiful screens of bh.AI were built
+- **Frontend:** Flutter - An open source cross-platform UI framework, using which the beautiful screens of padh.Ai were built
 - **Backend:** FastAPI - Backend for the app, uses Python, performs RAG embeddings on content as well as queries the LLM using system and user prompts
 - **langchain:** Framework to integrate LLMs customized for different use Cases
 - **FAISS(Facebook AI Similarity Search):** A library for efficient similarity search and clustering of dense vectors.