Это пробный урок. Оформите подписку, чтобы получить доступ ко всем материалам курса. Премиум

  1. Урок 1. 00:11:03
    Welcome & Course Overview
  2. Урок 2. 00:05:58
    A Brief History of OpenAI
  3. Урок 3. 00:06:33
    Let's Talk About GPT
  4. Урок 4. 00:11:25
    OPTIONAL: The Transformer Architecture
  5. Урок 5. 00:03:48
    Signing Up For An Account
  6. Урок 6. 00:00:40
    Getting The Course Code
  7. Урок 7. 00:08:07
    Our First Completion Request
  8. Урок 8. 00:06:08
    Hiding Our API Key
  9. Урок 9. 00:03:08
    Understanding Tokens
  10. Урок 10. 00:06:21
    max_tokens
  11. Урок 11. 00:10:09
    Stop Sequences
  12. Урок 12. 00:09:27
    N and Echo
  13. Урок 13. 00:10:10
    The Different Completion Models
  14. Урок 14. 00:05:37
    Comparing Model Performance and Pricing
  15. Урок 15. 00:10:36
    The Elements of a Good Prompt
  16. Урок 16. 00:07:34
    Controlling The Output Format
  17. Урок 17. 00:03:34
    Summarization Prompts
  18. Урок 18. 00:03:06
    Data Extraction Prompts
  19. Урок 19. 00:03:27
    Sentiment Analysis Prompts
  20. Урок 20. 00:04:47
    Zero-Shot Vs. Few-Shot Prompting
  21. Урок 21. 00:03:31
    "Let's Think Step By Step" Prompting
  22. Урок 22. 00:05:04
    Text Transformation Prompts
  23. Урок 23. 00:03:57
    Introducing The Color Palette Project
  24. Урок 24. 00:08:44
    Writing The Color Palette Generator Prompt
  25. Урок 25. 00:11:31
    Writing a Color-Swatch Rendering Function
  26. Урок 26. 00:06:03
    Setting Up The Flask Server
  27. Урок 27. 00:08:14
    Integrating OpenAI With Server
  28. Урок 28. 00:08:43
    Writing the Palette Endpoint
  29. Урок 29. 00:09:46
    Creating The Form
  30. Урок 30. 00:06:24
    Rending The Colors In The Browser
  31. Урок 31. 00:06:21
    Copy and Paste Functionality
  32. Урок 32. 00:06:42
    Styling The Color Blocks
  33. Урок 33. 00:07:14
    Styling The Form
  34. Урок 34. 00:07:04
    Refactoring Our Front-End Code
  35. Урок 35. 00:11:51
    Temperature
  36. Урок 36. 00:09:07
    Understanding Top P
  37. Урок 37. 00:10:03
    Frequency Penalty
  38. Урок 38. 00:04:54
    Presence Penalty
  39. Урок 39. 00:06:35
    Streaming Responses
  40. Урок 40. 00:03:37
    Introducing The Chat API
  41. Урок 41. 00:05:56
    Our First Chat Request
  42. Урок 42. 00:02:13
    Important Note On Pricing!
  43. Урок 43. 00:08:18
    Prompting With Properly Formatted Messages
  44. Урок 44. 00:01:45
    Note on GPT-3.5-Turbo Versions
  45. Урок 45. 00:08:26
    Rewriting a Completion Prompt In Chat Format
  46. Урок 46. 00:05:07
    Chat API Parameters
  47. Урок 47. 00:02:29
    Introducing Our Chatbot Project
  48. Урок 48. 00:07:53
    Writing The Basic Chatbot Structure
  49. Урок 49. 00:08:46
    Persisting Messages Across Requests
  50. Урок 50. 00:09:21
    Adding Optional Personalities
  51. Урок 51. 00:05:29
    Colorizing The Chatbot Output
  52. Урок 52. 00:06:08
    Asking GPT-4 To Explain Code
  53. Урок 53. 00:07:10
    Calculating Time Complexity With GPT-4
  54. Урок 54. 00:06:12
    Translating JS To Python With GPT-4
  55. Урок 55. 00:06:30
    Fixing Code Bugs With GPT-4
  56. Урок 56. 00:06:17
    Generating Code From Scratch With GPT-4
  57. Урок 57. 00:09:10
    Counting Tokens With TikToken
  58. Урок 58. 00:07:10
    Counting GPT-4 Message Tokens
  59. Урок 59. 00:04:08
    Introducing The Basic Code Reviewer
  60. Урок 60. 00:08:26
    Building The Basic Code Reviewer Pt 1
  61. Урок 61. 00:10:21
    Building The Basic Code Reviewer Pt 2
  62. Урок 62. 00:07:45
    Introducing The Interactive Code Reviewer
  63. Урок 63. 00:13:00
    Interactive Code Reviewer Prompt
  64. Урок 64. 00:12:04
    Interactive Code Reviewer Walkthrough
  65. Урок 65. 00:04:40
    Introducing The Spotify Project
  66. Урок 66. 00:12:11
    Writing The Playlist Generating Prompt
  67. Урок 67. 00:05:38
    Finishing The Playlist Prompt
  68. Урок 68. 00:03:39
    Getting Spotify Developer Credentials
  69. Урок 69. 00:07:31
    Spotify Authentication Via Python
  70. Урок 70. 00:05:33
    Searching For Spotify Tracks Via Python
  71. Урок 71. 00:04:52
    Creating Spotify Playlists Programmatically
  72. Урок 72. 00:06:46
    Adding in OpenAI
  73. Урок 73. 00:06:26
    Accepting Command Line Arguments
  74. Урок 74. 00:05:21
    Overview of the Polished Solution
  75. Урок 75. 00:02:39
    Introducing Embeddings
  76. Урок 76. 00:03:50
    Generating a Single Embedding
  77. Урок 77. 00:04:20
    Introducing The Movie Embedding Visualization
  78. Урок 78. 00:04:39
    Getting Our Movie Data Ready
  79. Урок 79. 00:12:08
    Generating Embeddings for 5000 Movies
  80. Урок 80. 00:09:34
    Visualizing Our Embeddings With Atlas
  81. Урок 81. 00:16:12
    Recommending Movies Using Our Embeddings
  82. Урок 82. 00:08:03
    Expanding GPT-4 "Knowledge" With Embeddings
  83. Урок 83. 00:11:36
    Gathering Our Embeddings
  84. Урок 84. 00:09:08
    Implementing Q&A With Embeddings & GPT-4
  85. Урок 85. 00:04:59
    Introducing The Reddit Sentiment Analysis Project
  86. Урок 86. 00:10:10
    Collecting Comments From Reddit
  87. Урок 87. 00:11:49
    Analyzing Sentiment In The Comments
  88. Урок 88. 00:05:57
    Plotting The Results
  89. Урок 89. 00:07:24
    Introducing The Book Summarizer
  90. Урок 90. 00:07:16
    Preparing Book Text For Summarization
  91. Урок 91. 00:08:35
    Context Window Math
  92. Урок 92. 00:13:44
    Summarization Logic
  93. Урок 93. 00:04:55
    Caching Results
  94. Урок 94. 00:07:56
    Performing a "Meta-Summary" With GPT-4
  95. Урок 95. 00:03:46
    Intro To DALL-E
  96. Урок 96. 00:08:04
    Making a DALL-E Request
  97. Урок 97. 00:12:50
    Saving DALL-E Images
  98. Урок 98. 00:07:38
    Alternative Approach To Saving Images
  99. Урок 99. 00:08:24
    Requesting Image Variations
  100. Урок 100. 00:05:09
    DALL-E Image Edits
  101. Урок 101. 00:04:56
    Introducing Stability.AI and Stable Diffusion
  102. Урок 102. 00:07:57
    Using the Stability SDK
  103. Урок 103. 00:05:34
    Introducing The Choose Your Own Adventure Project
  104. Урок 104. 00:09:58
    GPT-4 CYOA Text Generation
  105. Урок 105. 00:09:06
    Stable Diffusion CYOA Image Generation
  106. Урок 106. 00:01:58
    Introducing Whisper
  107. Урок 107. 00:06:30
    The Basics of Whisper
  108. Урок 108. 00:02:48
    Providing a Prompt to Whisper
  109. Урок 109. 00:04:52
    Translating Audio With Whisper
  110. Урок 110. 00:05:01
    Transcribing Non-English Audio
  111. Урок 111. 00:05:49
    Running The Whisper Model Locally