From 735b8758262aba9f8d6c7f9308ca6aae76395d6a Mon Sep 17 00:00:00 2001
From: Sebastian Raschka <mail@sebastianraschka.com>
Date: Thu, 21 Mar 2024 12:03:36 -0500
Subject: [PATCH] Minor Readme cosmetics (#28)

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index d3d325a155..7d60063864 100644
--- a/README.md
+++ b/README.md
@@ -36,7 +36,7 @@ Thunder aims to be usable, understandable, and extensible.
 
 ## Performance
 
-Thunder can achieve significant speedups over standard PyTorch eager code, through the compounding effects of optimizations and the use of best in class executors. Here is an example of the pretraining throughput for Llama 2 7B as implemented in [LitGPT](https://github.com/Lightning-AI/litgpt).
+Thunder can achieve significant speedups over standard PyTorch eager code, through the compounding effects of optimizations and the use of best-in-class executors. Here is an example of the pretraining throughput for Llama 2 7B as implemented in [LitGPT](https://github.com/Lightning-AI/litgpt).
 
 <div align="center">
 <img alt="Thunder" src="docs/source/_static/images/training_throughput_single.png" width="800px" style="max-width: 100%;">
@@ -121,9 +121,9 @@ The compiled function `jfoo` takes and returns PyTorch tensors, just like the or
 
 ## Train models
 
-Thunder is in its early stages, it should not be used for production runs yet.
+Thunder is in its early stages and should not be used for production runs yet.
 
-However, it can already deliver outstanding performance on models supported by [LitGPT](https://github.com/Lightning-AI/lit-gpt), such as Mistral, Llama2, Gemma, Falcon, and derivatives.
+However, it can already deliver outstanding performance on LLM model supported by [LitGPT](https://github.com/Lightning-AI/lit-gpt), such as Mistral, Llama 2, Gemma, Falcon, and others.
 
 Run training loop for Llama, single-GPU:
 
@@ -141,7 +141,7 @@ See [README.md](examples/lit-gpt/README.md) for details on running LitGPT with T
 
 ## Features
 
-Given a python callable or PyTorch module, Thunder can generate an optimized program that:
+Given a Python callable or PyTorch module, Thunder can generate an optimized program that:
 
 - Computes its forward and backward passes
 - Coalesces operations into efficient fusion regions
@@ -204,4 +204,4 @@ Thunder is very thoroughly tested, so expect this to take a while.
 ## License
 
 Lightning Thunder is released under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.
-See LICENSE file for details.
+See the [LICENSE](LICENSE) file for details.