Update README.md

README.md

@@ -136,7 +136,10 @@ Here are the files and directories in the current directory:
 Please let me know if you need any further assistance.
 ```
 
-The more files to list, the longer it takes to generate the output.
+Interesting key points to note here:
+
+- The LLM files gives an exhaustive list of the files (and directories) present in the current directory.
+- The more files to list, the longer it takes to generate the output.
 
 ```text
 CPU times: user 5.87 ms, sys: 0 ns, total: 5.87 ms
@@ -331,7 +334,9 @@ CPU times: user 2.46 ms, sys: 3.06 ms, total: 5.52 ms
 Wall time: 1.59 s
 ```
 
-The LLM gives the same answer as before and will keep doing so.
+Interesting key point to note here:
+
+- The LLM gives the same answer as before and will keep doing so.
 
 ### With AGI
 
@@ -416,7 +421,9 @@ CPU times: user 3.02 ms, sys: 1.19 ms, total: 4.21 ms
 Wall time: 2.03 s
 ```
 
-The LLM answers something different and should keep doing so.
+Interesting key point to note here:
+
+- The LLM answers something different and should keep doing so.
 
 ### Consequences
 
@@ -427,13 +434,12 @@ Keeping the limits of the LLM, the RAG technique and vector databases in mind, t
 ## How does it work?
 
 This project is composed of two parts:
-
     - The Guidebook
     - The Augmented Generation Interface Retrieval System
   
 ### The Guidebook
 
-You can find the guidebook in raw markdown format [under the `guidebook` directory](https://github.com/wasertech/Augmented-Generation-Interface). Its also available on HuggingFace Hub as a dataset: [`wasertech/AGI`](https://huggingface.co/datasets/wasertech/AGI).
+You can find the guidebook in raw markdown format under the `guidebook` directory. Its also available on HuggingFace Hub as a dataset: [`wasertech/AGI`](https://huggingface.co/datasets/wasertech/AGI).
 
 The guidebook is a collection of guides meticulously crafted to help your LLM produce the most relevant output.