01. Introduction
02. What Were Using
03. Jupyter Notebook
04. Google Colab
05. Getting a Gemini API Key
06. Installing the Python SDK for Gemini API and Authenticating to Gemini
07. Gemini Multimodal Models Nano, Pro, and Ultra
08. Google AI Studio Freeform Prompts With Gemini Pro Vision
09. Google AI Studio Using Variables and Parameters in the Prompt
10. Generating Text From Text Inputs Gemini Pro
11. Streaming Model Responses
12. Generating Text From Image and Text Inputs Gemini Pro Vision
13. Gemini API Generation Parameters Controlling How the Model Generates Responses
14. Gemini API Generation Parameters Explained
15. Building Chat Conversations
16. Project Building a Conversational Agent Using Gemini Pro
17. Introduction to Gemini 1.5 Pro
18. System Instructions
19. The File API Prompting with Media Files
20. Tokens
21. Prompting with Audio
22. Project Requirements
23. Building the Application
24. Testing the Application
25. Streamlit Transform Your Jupyter Notebooks into Interactive Web Apps
26. Creating the Web App Layout With Streamlit
27. Saving and Displaying the History Using the Streamlit Session State
28. Project Introduction
29. Getting Images Using a Generator
30. Renaming Images Using Gemini Pro Vision
31. Intro to Prompt Engineering the Gemini API
32. Tactic 1 - Position Instructions Clearly With Delimiters
33. Tactic 2 - Provide Detailed Instructions for the Context, Outcome, or Length
34. Tactic 3 - Specify the Response Format
35. Tactic 4 - Few-Shot Prompting
36. Tactic 5 - Specify the Steps Required to Complete a Task
37. Tactic 6 - Give Models Time to Think
38. Other Tactics for Better Prompting and Avoiding Hallucinations
39. Prompt Engineering Summary
