Ivan/tutorial cod (#193)

Added a chain-of-density example and added a small README and requirements.txt for easy setup of environment

tutorials/README.md

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+# Introduction
+
+This section includes a list of notebooks that walk you through some simple concepts in Instructor. We start small and then work our way up to more complex and tricky implementations using the library.
+
+## Overview
+
+Currently we have the following notebooks avaliable 
+
+1. `Introduction` - This is a quick walkthrough some of the benefits of Pydantic and how the Instructor Library integrates nicely with Pydantic with `instructor.patch()`
+
+2. `Tips` - Quick demonstration of how to use enums, `Pydantic` models and structured prompting to get specific output formats
+
+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](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.
+
+```
+Command '[PosixPath('dot'), '-Kdot', '-Tsvg']' died with <Signals.SIGKILL: 9>.
+```
+
+Here are the steps to start running the notebooks
+
+1. Create a virtual environment
+
+```
+python3 -m venv .venv
+source .venv .venv/bin/activate
+```
+
+2. Install the dependencies
+
+```
+pip3 install -r requirements.txt
+```
+
+3. Add the virtual environment to Jupyter notebook
+
+```
+python -m ipykernel install --user --name=instructor-env
+```
+
+4. Add OpenAI API Key into your shell by running the following command. This will be set for as long as the shell is open.
+
+```
+export OPENAI_API_KEY=<api key goes here>
+```
+
+5. Start Jupyter Notebook
+
+```
+jupyter notebook
+```

tutorials/requirements.txt

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+ipykernel
+jupyter
+instructor
+openai>=1.1.0
+pydantic
+graphviz
+spacy
+nltk