From 2ff156d4632eb621276bc058e3b29450197a8f14 Mon Sep 17 00:00:00 2001
From: DaniAndTheWeb <57776841+DaniAndTheWeb@users.noreply.github.com>
Date: Wed, 26 Apr 2023 01:27:04 +0200
Subject: [PATCH] Better BLAS explanation

---
 README.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 5bfa376a4..a6e33d695 100644
--- a/README.md
+++ b/README.md
@@ -192,7 +192,9 @@ Note: For Windows, CMake or Zig can be used.
     zig build -Drelease-fast
     ```
 
-BLAS support is not enabled by default but by enabling it you may obtain some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). There are currently two different implementations of it:
+#### BLAS Build
+
+Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). BLAS doesn't affect the prompt generation. There are currently two different implementations of it:
 
 - OpenBLAS
 
@@ -202,7 +204,7 @@ BLAS support is not enabled by default but by enabling it you may obtain some pe
     ```bash
     make LLAMA_OPENBLAS=1
     ```
-    Note: in order to build with OpenBLAS support enabled on Arch Linux you must edit the Makefile adding at the end of the line 105: `-lcblas`
+    Note: In order to build on Arch Linux with OpenBLAS support enabled you must edit the Makefile adding at the end of the line 105: `-lcblas`
 
 
   - Using CMake
@@ -215,7 +217,7 @@ BLAS support is not enabled by default but by enabling it you may obtain some pe
       ```
 - cuBLAS
 
-  This provides BLAS acceleration using the CUDA cores of your Nvidia GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager or from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads)
+  This provides BLAS acceleration using the CUDA cores of your Nvidia GPU. Make sure to have the CUDA toolkit installed. You can download it from your Linux distro's package manager or from here: [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads).
   - Using `make`
     ```bash
     make LLAMA_CUBLAS=1