T. Evgeniou, Professor INSEAD GitHub | LinkedIn

The material for session 1 was developed by Olivier Mertens, Developer Audience, Azure Open AI Service, @Microsoft GitHub | LinkedIn

In the first session, we will learn about some Gen AI tools that we will use for product prototyping during the class.

We'll use OpenAI Service and keys to access/use models with the use of apis and Google Collab (browser based) for some python coding.

[NOTE] You can also use all notebooks in a local/your computer: with Visual studio code or using Conda to launch Jupyter notebook

1. Go to the OpenAI website: Go to https://www.openai.com/

2. Create an account: Click on the 'Sign Up' button on the top right corner of the website. Fill in your details and follow the prompts to create your account.

3. Verify your email: Check your email for a verification link from OpenAI. Click on the link to verify your account.

4. Log in to your account: After verifying your email, log in to your account using your credentials.

To experiment with the key concepts of prompt engineering, models and RAG - retrieval Augmented Generation you could visit and test the sandbox GPTs (just announced by OpenAI in November 2023) to play with a chatbot interface without the need to code ("No Code" environment). To do so, you can go to https://platform.openai.com/playground

Select your model (e.g., we can select gpt-4 or earlier - and less costly - ones like gpt-3.5-turbo)

If you want to know about differences between the available LLM models, you can deep dive at this link

This interface will be shown after you have correctly created your chabot

You can also read this for some more background on basic prompt engineering

Other resources:

• Sandbox / Playground Open AI https://platform.openai.com/playground
• Documentation Assistants https://platform.openai.com/docs/assistants/overview
• API With openAI https://platform.openai.com/docs/api-reference

5. Access the API dashboard: Once logged in, navigate to the API dashboard named Api Keys.

6. Create a new API key: If you don't already have an API key, you can create a new one by clicking on the 'Create new API key' button.

You can select the name you want

You will have this kind of view after creating a key (or several keys)

IMPORTANT Don't forget every usage of a model with OpenAI will cost something! (check this link to understand the difference in pricing / models)[https://openai.com/pricing]

7. Copy your API key: After creating your API key, make sure to copy it and store it somewhere safe. This key is used to authenticate your requests to the OpenAI API. Whoever has access to it will be charging your account when using it!

8. Set up your organization: In the API dashboard, you can also set up your organization if needed. This involves adding other users to your organization and managing their access levels.

Remember, keep your Open AI API key secure and do not share it with anyone. It's also a good practice to regularly rotate your API keys, or create a new one for each application or usage.

In order to simplify potential issues with different python versions or different operating systems and installations on your personal computer, we will use notebook Colab for the course. You can of course also work on your computer if you choose to, using for example Anaconda (beyond the course).

• You need to have a Google Gmail Account. If not create a new one

We will use these three colab notebooks as starting examples. Go to https://colab.research.google.com/ and follow these links to have the latest notebooks for course session 1:

• Interview questions generation https://aka.ms/inseadGenAi-1
• Web article generation https://aka.ms/inseadGenAi-2
• (This one will require some more steps, see below) Extract audio with whisper and process the text https://aka.ms/inseadGenAi-3

We will be adding more over time (as you will notice).

You may encounter warning pop-up windows - click ok

When a notebook is correctly imported in your personal collab, you have to first import your "secrets"

• Add your secrets (Key and organization imported form OpenAI sk-XXX and org-xxxxxx) in the left panel in Google Collab

Create the variable secrets one at a time:

• Copy/paste this name: OPENAI_API_KEY
• Copy paste your sk-key inside the right input
• Click on the left blue button to render the secret available in your notebook

Next, if needed (you do not need to do this for the course), you can also add "secret" for an organization:

• Copy/paste this name: OPENAI_ORGANIZATION
• Copy paste your org-key inside the right input
• Click on left blue button to render the secret available in your notebook

To use/run a notebook you have to click on every small "play button" inside the notebook

Note that for the three example notebooks the very first "code chunk" (that installs packages) may take a few seconds to run and will be generating some messages. Simply wait till it completes running.

For the third (audio analysis) Notebook, you can import you own mp4 file video or audio to analyse. To so so:

• Click on the folder button on the left
• Import your file inside the current path - click yes to the pop up warning. Note that you have to respect the file naming ("interview.mp4") or else you will have to change the name in the notebook itself in the line inputFile = "/content/interview.mp4"

🥰

• AI Term Glossary
• Models
• Prompt Engineering

More information on Azure Open AI services can be found here