three typos/grammar error corrected in readme

README.md

@@ -3,13 +3,13 @@ It's built using Langchain and uses a collection of tools to set up and execute
 
 
 ## Environment Setup
-To use the OpenMM features in the agent, please set up a conda environment, following these steps.
+To use the OpenMM features in the agent, please set up a conda environment following these steps.
 ```
 conda env create -n mdcrow -f environment.yaml
 conda activate mdcrow
 ```
 
-If you already have a conda environment, you can install dependencies before you activate it with the following step.
+If you already have a conda environment, you can install dependencies before you activate it with the following steps.
 - Install the necessary conda dependencies: `conda env update -n <YOUR_CONDA_ENV_HERE> -f environment.yaml`
 
 
@@ -25,14 +25,14 @@ Other tools require API keys, such as paper-qa for literature searches. We recom
 1. Copy the `.env.example` file and rename it to `.env`: `cp .env.example .env`
 2. Replace the placeholder values in `.env` with your actual keys
 
-You can ask MDCrow to conduct molecular dynamics tasks using OpenAI's GPT model
+You can ask MDCrow to conduct molecular dynamics tasks using OpenAI's GPT model.
 ```
 from mdcrow import MDCrow
 
 agent = MDCrow(model="gpt-3.5-turbo")
 agent.run("Simulate protein 1ZNI at 300 K for 0.1 ps and calculate the RMSD over time.")
 ```
-Note: to distinguish Together models from the rest, you'll need to add "together\" prefix in model flag, such as `agent = MDCrow(model="together/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo")`
+Note: To distinguish Together models from the rest, you'll need to add the "together\" prefix in the model flag, such as `agent = MDCrow(model="together/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo")`
 
 ## LLM Providers
 By default, we support LLMs through OpenAI API. However, feel free to use other LLM providers. Make sure to install the necessary package for it. Here's a list of packages required for alternative LLM providers we support: