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Премиум
  1. Урок 1. 00:03:26
    Introduction
  2. Урок 2. 00:00:36
    What We're Using
  3. Урок 3. 00:14:11
    Jupyter Notebook
  4. Урок 4. 00:08:08
    Google Colab
  5. Урок 5. 00:04:21
    Getting a Gemini API Key
  6. Урок 6. 00:09:52
    Installing the Python SDK for Gemini API and Authenticating to Gemini
  7. Урок 7. 00:05:15
    Gemini Multimodal Models: Nano, Pro, and Ultra
  8. Урок 8. 00:06:12
    Google AI Studio: Freeform Prompts With Gemini Pro Vision
  9. Урок 9. 00:03:05
    Google AI Studio: Using Variables and Parameters in the Prompt
  10. Урок 10. 00:04:23
    Generating Text From Text Inputs: Gemini Pro
  11. Урок 11. 00:03:36
    Streaming Model Responses
  12. Урок 12. 00:05:13
    Generating Text From Image and Text Inputs: Gemini Pro Vision
  13. Урок 13. 00:06:12
    Gemini API Generation Parameters: Controlling How the Model Generates Responses
  14. Урок 14. 00:10:14
    Gemini API Generation Parameters Explained
  15. Урок 15. 00:07:54
    Building Chat Conversations
  16. Урок 16. 00:07:19
    Project: Building a Conversational Agent Using Gemini Pro
  17. Урок 17. 00:04:11
    Introduction to Gemini 1.5 Pro
  18. Урок 18. 00:05:43
    System Instructions
  19. Урок 19. 00:06:09
    The File API Prompting with Media Files
  20. Урок 20. 00:06:42
    Tokens
  21. Урок 21. 00:04:21
    Prompting with Audio
  22. Урок 22. 00:05:54
    Project Requirements
  23. Урок 23. 00:05:23
    Building the Application
  24. Урок 24. 00:01:49
    Testing the Application
  25. Урок 25. 00:02:49
    Streamlit: Transform Your Jupyter Notebooks into Interactive Web Apps
  26. Урок 26. 00:11:20
    Creating the Web App Layout With Streamlit
  27. Урок 27. 00:05:20
    Saving and Displaying the History Using the Streamlit Session State
  28. Урок 28. 00:00:57
    Project Introduction
  29. Урок 29. 00:06:18
    Getting Images Using a Generator
  30. Урок 30. 00:09:35
    Renaming Images Using Gemini Pro Vision
  31. Урок 31. 00:03:13
    Intro to Prompt Engineering the Gemini API
  32. Урок 32. 00:05:02
    Tactic #1 - Position Instructions Clearly With Delimiters
  33. Урок 33. 00:06:11
    Tactic #2 - Provide Detailed Instructions for the Context, Outcome, or Length
  34. Урок 34. 00:06:14
    Tactic #3 - Specify the Response Format
  35. Урок 35. 00:06:56
    Tactic #4 - Few-Shot Prompting
  36. Урок 36. 00:06:29
    Tactic #5 - Specify the Steps Required to Complete a Task
  37. Урок 37. 00:04:34
    Tactic #6 - Give Models Time to "Think"
  38. Урок 38. 00:06:21
    Other Tactics for Better Prompting and Avoiding Hallucinations
  39. Урок 39. 00:02:13
    Prompt Engineering Summary