First draft of Chain Of Density

tutorials/README.md

@@ -10,13 +10,19 @@ Currently we have the following notebooks avaliable
 
 2. `Tips` - Quick demonstration of how to use enums, `Pydantic` models and structured prompting to get specific output formats
 
-3.
+3. `Applications Rag`: Learn how to generate nested models with `Pydantic` by rewriting user queries
+
+4. `Knowledge Graphs`: Dive deep into the use of LLMs to break down complex topics into simple knowledge graphs
+
+5. `Validation` : Learn how to use Pydantic's inbuilt validators to perform more complex validation and checks on the outputs of your functions
+
+6. `Chain Of Density` : Learn how to produce high quality summaries that consistently beat out human-generated ones using `Chain of Density` summarization.
 
 
 
 ## Installation
 
-We utilise the Graphviz package in this tutorial series. If you don't have it on hand, you should download it. Mac users can do so by running `brew install graphviz` while Linux users can try `sudo apt install graphviz` ( modify to your system specific package manager). Here is a link to their official [documentation](Install Graphviz based on your operation system https://graphviz.org/download/)
+We utilise the Graphviz package in this tutorial series. If you don't have it on hand, you should download it. Mac users can do so by running `brew install graphviz` while Linux users can try `sudo apt install graphviz` ( modify to your system specific package manager). Here is a link to their official [documentation](https://graphviz.org/download/)
 
 If you're encountering an error like the following when trying to run graphviz after installing it, just restart the notebook and verify you've got graphviz installed by running `dot -v` in your shell.
 

tutorials/requirements.txt

@@ -3,4 +3,6 @@ jupyter
 instructor
 openai>=1.1.0
 pydantic
-graphviz
+graphviz
+spacy
+nltk