[README] Refactor README✔️ (#176)

* Update README.md

* Update README.md

* Update README.md

* Update README.md

Author: DefTruth

README.md

@@ -150,13 +150,15 @@ flash_attn_mma_stages_split_q_tiling_qk_kernel(half* Q, half* K, half* V, half*
 
 <div id="cuda-kernel"></div>    
 
-**Workflow**: custom **CUDA** kernel impl -> **PyTorch** Python bindings -> Run tests. 👉TIPS: `*` = Tensor Cores (WMMA, MMA, CuTe), otherwise, CUDA Cores; `/` = not supported; `✔️` = supported; `❔` = TODO. [📚 Easy](#cuda-kernel-easy-medium) and [📚 Medium](#cuda-kernel-easy-medium) includes element-wise, mat_trans, warp/block reduce, online-softmax, nms, layer-norm, rms-norm, dot-prod etc. [📚 Hard](#cuda-kernel-hard) and [📚 Hard++](#cuda-kernel-hard) mainly focus on `sgemv, sgemm, hgemv, hgemm and flash-attention`.
+The kernels listed here will guide you through a step-by-step progression, ranging from easy to very challenging topics. The **Workflow** will look like: custom **CUDA** kernel impl -> **PyTorch** Python bindings -> Run tests. 👉TIPS: `*` = Tensor Cores (WMMA, MMA, CuTe), otherwise, CUDA Cores; `/` = not supported; `✔️` = supported; `❔` = TODO. Contents:  
 
 - [📚 Easy ⭐️](#cuda-kernel-easy-medium)
 - [📚 Medium ⭐️⭐️](#cuda-kernel-easy-medium)
 - [📚 Hard ⭐️⭐️⭐️](#cuda-kernel-hard)
 - [📚 Hard++ ⭐⭐⭐️⭐️⭐️](#cuda-kernel-hard)
 
+[📚 Easy](#cuda-kernel-easy-medium) and [📚 Medium](#cuda-kernel-easy-medium) sections cover fundamental operations such as element-wise, mat_trans, warp/block reduce, online-softmax, nms, layer-norm, rms-norm, dot-prod etc. [📚 Hard](#cuda-kernel-hard) and [📚 Hard++](#cuda-kernel-hard) sections delve deeper into advanced topics, primarily focusing on operations like `sgemv, sgemm, hgemv, hgemm and flash-attention`. These sections also provide numerous kernels implemented using Tensor Cores with pure MMA PTX instructions.
+
 ### 📚 Easy ⭐️ & Medium ⭐️⭐️  ([©️back👆🏻](#cuda-kernel))  
 <div id="cuda-kernel-easy-medium"></div>  
 
@@ -467,7 +469,7 @@ flash_attn_mma_stages_split_q_tiling_qk_kernel(half* Q, half* K, half* V, half*
 
 <div id="my-blogs-part-1"></div>  
 
-### 📖 大模型|多模态|Diffusion|推理优化 (本人作者) ([©️back👆🏻](#contents))
+### 📚 大模型|多模态|Diffusion|推理优化 (本人作者) ([©️back👆🏻](#contents))
 
 |📖 类型-标题|📖 作者|
 |:---|:---| 
@@ -496,7 +498,7 @@ flash_attn_mma_stages_split_q_tiling_qk_kernel(half* Q, half* K, half* V, half*
 |[[LLM推理优化][LLM Infra整理]📖PagedAttention论文新鲜出炉](https://zhuanlan.zhihu.com/p/617015570)|@DefTruth|
 
 
-### 📖 CV推理部署|C++|算法|技术随笔 (本人作者) ([©️back👆🏻](#contents))
+### 📚 CV推理部署|C++|算法|技术随笔 (本人作者) ([©️back👆🏻](#contents))
 
 <div id="my-blogs-part-2"></div>  
 
@@ -548,7 +550,7 @@ flash_attn_mma_stages_split_q_tiling_qk_kernel(half* Q, half* K, half* V, half*
 | [[技术随笔][ML]📖200页:《统计学习方法：李航》笔记 -从原理到实现](https://zhuanlan.zhihu.com/p/461520847)|@DefTruth|  
 
 
-### 📖 CUTLASS|CuTe|NCCL|CUDA|文章推荐 (其他作者) ([©️back👆🏻](#contents))
+### 📚 CUTLASS|CuTe|NCCL|CUDA|文章推荐 (其他作者) ([©️back👆🏻](#contents))
 
 <div id="other-blogs"></div>