Text Generation with Google Gemini

In this lesson, you’ll learn about Google’s generative AI platform, Google Gemini. You’ll get an overview of the tools and resources and how they compare to the offerings of OpenAI. You’ll try the powerful built-in tools from Google including AIStudio, and Colab where there are tons of Jupyter Notebook examples.

In this lesson, you will learn about Google code assist and utilize it to write a python program in Visual Studio Code. You’ll also learn how it’s features compare to Codex by OpenAI.

In this lesson, you’ll create a Python commands in Jupyter notebook in the jupyter lab. You’ll then connect this jupyter notebook to Google Gemini’s API. You will select an appropriate model. You will also learn how to set model parameters. You’ll learn about tokens and what each of the different parameters mean.

In this lesson you will learn how to use chat history and system instructions.