Update README.md

README.md

@@ -45,10 +45,15 @@ widget:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/658d8095a2a6a6e0da8bb8a6/V5vUqiFiV4DPt1Xm77PHv.png)
 
-Given a goal and tools can Ai intelligently use the tools to reach the goal ? \n
-What if it has a meagre 1.3b params/neurons akin to that of an owl ? \n
-Can it follow instructions and plan to reach a goal ? \n
-Apparently it can. \n
+Given a goal and tools can Ai intelligently use the tools to reach the goal ?
+
+What if it has a meagre 1.3b params/neurons akin to that of an owl ? 
+
+Can it follow instructions and plan to reach a goal ? 
+
+Apparently it can. 
+
+
 Releasing `pip-code-bandit` and `pip_flow` a model and a library to manage and run goal oriented agentic system.
 
 
@@ -67,6 +72,7 @@ Releasing `pip-code-bandit` and `pip_flow` a model and a library to manage and r
 6. code generation | doc
 7. file recreated in json | any raw data
 8. corrected generation | new instruction with error
+
 -- instruction following , RL tuned.
 ```
 
@@ -79,8 +85,9 @@ The reward policy is around the concept of model going to a stable state of zero
 In this set up the model, which was pre trained on code , function documentation and similar OS datasets ,was RL tuned for instruction following and reliability. 
 
 ## License
-
+```bash
 The model is open source under apache 2.0. License
+```
 
 ## Usage
 
@@ -115,4 +122,7 @@ pip install transformers
 
 
 ### Team
-Avi Kothari, Gyan Ranjan, Pratham Gupta, Ritvik Aryan Kalra, Soham Acharya
+
+```doc
+Avi Kothari, Gyan Ranjan, Pratham Gupta, Ritvik Aryan Kalra, Soham Acharya
+```