diff --git a/README.md b/README.md
index 3977cdd25792..13809c14e46a 100644
--- a/README.md
+++ b/README.md
@@ -68,10 +68,10 @@ The results from the Colossal-AI benchmark provide the most practical insight. F
## Table of Contents
- - Why Colossal-AI
+ - Why Colossal-AI?
- Features
-
- Colossal-AI for Real World Applications
+ Colossal-AI For Real World Applications
- Open-Sora: Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models
- Colossal-LLaMA-2: One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific Llm Solution
@@ -128,7 +128,10 @@ The results from the Colossal-AI benchmark provide the most practical insight. F
- Prof. James Demmel (UC Berkeley): Colossal-AI makes training AI models efficient, easy, and scalable.
+ > "Colossal-AI makes training AI models efficient, easy, and scalable."
+>
+> — *Prof. James Demmel, UC Berkeley*
+
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