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  1. Урок 1. 00:01:01
    Learn To Work With LLMs with Scott Kerr
  2. Урок 2. 00:06:20
    Course Introduction
  3. Урок 3. 00:06:25
    What is Prompt Engineering?
  4. Урок 4. 00:08:32
    Why is Prompt Engineering Even a Thing?
  5. Урок 5. 00:04:03
    Breaking GPT
  6. Урок 6. 00:04:25
    Applied Prompt Engineering
  7. Урок 7. 00:09:30
    Applied Prompt Engineering with NASA
  8. Урок 8. 00:04:07
    Why is Prompt Engineering Important to You?
  9. Урок 9. 00:01:22
    What I'm Using - Part 1
  10. Урок 10. 00:04:03
    What I'm Using - Part 2 (OpenAI Playground)
  11. Урок 11. 00:11:42
    Multi-Modality and Tools in LLMs
  12. Урок 12. 00:01:40
    Getting Started with ChatGPT
  13. Урок 13. 00:04:09
    The Basics of ChatGPT
  14. Урок 14. 00:01:12
    ChatGPT App
  15. Урок 15. 00:01:56
    Optional: ChatGPT Plus
  16. Урок 16. 00:04:28
    Getting Started with Claude
  17. Урок 17. 00:02:14
    Project Introduction
  18. Урок 18. 00:04:45
    Setting Up Your Replit Account
  19. Урок 19. 00:02:59
    Important Point #1 - Fundamental Truths About LLMs
  20. Урок 20. 00:04:04
    Important Point #2 - Models are Non-Deterministic
  21. Урок 21. 00:04:42
    The First Try
  22. Урок 22. 00:06:13
    Building Our Snake Game - Part 1
  23. Урок 23. 00:05:50
    Building Our Snake Game - Part 2
  24. Урок 24. 00:05:45
    Introduction to LLMs
  25. Урок 25. 00:05:18
    Tokens
  26. Урок 26. 00:05:51
    Word Guessing Machines?
  27. Урок 27. 00:06:57
    Thinking Like LLMs - Roll a Dice
  28. Урок 28. 00:22:14
    Inside LLMs
  29. Урок 29. 00:07:39
    The Transformer Model
  30. Урок 30. 00:03:57
    Exercise: Visualize the LLM Architecture
  31. Урок 31. 00:09:58
    The Training Process
  32. Урок 32. 00:07:07
    Base Model vs. Assistant Model
  33. Урок 33. 00:05:15
    Thinking Like LLMs - The Reversal Curse
  34. Урок 34. 00:05:29
    Artificial General Intelligence (AGI)
  35. Урок 35. 00:04:48
    Exercise: Use ChatGPT to Read the Research
  36. Урок 36. 00:06:06
    The World of LLMs
  37. Урок 37. 00:03:31
    Overview of Our Prompting Framework
  38. Урок 38. 00:04:34
    The Standard Prompt
  39. Урок 39. 00:04:05
    Exercise: Get Hyped to Learn!
  40. Урок 40. 00:01:02
    The Setup
  41. Урок 41. 00:06:08
    The System Message - Part 1
  42. Урок 42. 00:05:44
    The System Message - Part 2
  43. Урок 43. 00:06:43
    Exercise: Strengthen Your System Message
  44. Урок 44. 00:05:18
    Context - What it Is
  45. Урок 45. 00:09:22
    Context - The Context Window
  46. Урок 46. 00:11:27
    Context - Lost in the Middle
  47. Урок 47. 00:08:43
    Personas and Roles
  48. Урок 48. 00:11:50
    Personas - Tone, Style and Voice
  49. Урок 49. 00:11:15
    Custom Instructions
  50. Урок 50. 00:04:46
    Thinking Like LLMs - Can GPT Keep a Secret?
  51. Урок 51. 00:01:45
    Exercise: Get ChatGPT to Spill the Tea - Part 1
  52. Урок 52. 00:01:43
    Exercise: Get ChatGPT to Spill the Tea - Part 2
  53. Урок 53. 00:04:25
    Exercise: Get ChatGPT to Spill the Tea - Part 3
  54. Урок 54. 00:02:10
    The User Message
  55. Урок 55. 00:03:53
    Be Clear and Specific
  56. Урок 56. 00:05:16
    Delimiters
  57. Урок 57. 00:03:26
    Exercise: Identify Delimiters
  58. Урок 58. 00:06:11
    X-Y Problem
  59. Урок 59. 00:01:02
    In-Context Training
  60. Урок 60. 00:01:48
    Zero Shot Prompting
  61. Урок 61. 00:09:49
    One Shot and Few Shot Prompting
  62. Урок 62. 00:03:49
    Language Models Are Few-Shot Learners
  63. Урок 63. 00:02:24
    How Many Examples?
  64. Урок 64. 00:05:37
    Thinking Like LLMs - But Wait...
  65. Урок 65. 00:05:25
    Chain-of-Thought Prompting - Part 1
  66. Урок 66. 00:05:46
    Chain-of-Thought Prompting - Part 2
  67. Урок 67. 00:09:30
    Zero Shot CoT
  68. Урок 68. 00:02:57
    Exercise: Imposter Syndrome
  69. Урок 69. 00:07:33
    Career Coach Ideation
  70. Урок 70. 00:06:03
    The Setup - Persona
  71. Урок 71. 00:05:43
    The Setup - Context and Commands
  72. Урок 72. 00:12:21
    The Instructions - Modes
  73. Урок 73. 00:03:52
    The Instructions - Chain of Thought
  74. Урок 74. 00:09:02
    The Instructions - Gamify
  75. Урок 75. 00:19:54
    Meet Your Career Coach
  76. Урок 76. 00:01:36
    The Output
  77. Урок 77. 00:12:34
    Length
  78. Урок 78. 00:07:43
    Formats
  79. Урок 79. 00:02:31
    Exercise: Output an Excel File
  80. Урок 80. 00:04:02
    Exercise: Make a Flowchart
  81. Урок 81. 00:16:33
    Introduction to Guardrails and Jailbreaking
  82. Урок 82. 00:07:26
    Jailbreak! (The DAN Prompt)
  83. Урок 83. 00:18:10
    Many Shot Jailbreaking
  84. Урок 84. 00:09:37
    Prompt Injections - Part 1
  85. Урок 85. 00:17:43
    Prompt Injections - Part 2
  86. Урок 86. 00:09:18
    Thinking Like LLMs - Multi-Modal Injection
  87. Урок 87. 00:08:36
    Leaking - Part 1 (Prompt Leaking)
  88. Урок 88. 00:18:08
    Leaking - Part 2 (Data Leaking)
  89. Урок 89. 00:05:41
    Exposure
  90. Урок 90. 00:03:19
    Poisoning
  91. Урок 91. 00:04:40
    Toxicity
  92. Урок 92. 00:13:32
    Hallucinations
  93. Урок 93. 00:18:59
    Thinking Like LLMs - Big vs Small
  94. Урок 94. 00:04:35
    Challenge: Conduct Your Own Mechanistic Interpretability Research on Hallucinations
  95. Урок 95. 00:11:06
    The Model Card
  96. Урок 96. 00:14:44
    Model Cards Deep Dive
  97. Урок 97. 00:03:16
    Introduction to Hyperparameters and the OpenAI Playground
  98. Урок 98. 00:10:26
    Temperature
  99. Урок 99. 00:04:09
    Top P
  100. Урок 100. 00:04:39
    Frequency and Presence Penalties
  101. Урок 101. 00:05:23
    Stop Sequences
  102. Урок 102. 00:08:43
    Introduction
  103. Урок 103. 00:03:14
    Custom Instructions
  104. Урок 104. 00:10:39
    Memory
  105. Урок 105. 00:09:07
    The Instruction Hierarchy
  106. Урок 106. 00:11:42
    The Latest: Reasoning Models - Use of Developer Message
  107. Урок 107. 00:09:28
    The Latest: Research To Prevent ChatGPT from Spilling the Tea
  108. Урок 108. 00:16:47
    Replay: Multi-Modality and Tools in LLMs
  109. Урок 109. 00:01:54
    Multi-Modality Deep Dive
  110. Урок 110. 00:02:42
    Thinking Like LLMs - Attack of the (Voice) Clones
  111. Урок 111. 00:18:23
    The Bigger Picture
  112. Урок 112. 00:10:30
    Tools & Function Calling - Part 1
  113. Урок 113. 00:13:43
    Tools & Function Calling - Part 2
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    Wrap Up
  115. Урок 115. 00:06:51
    What Are Open Source LLMs and Why Are They Important?
  116. Урок 116. 00:07:53
    Chatbot Arena Leaderboard
  117. Урок 117. 00:14:39
    Battle of the Intelligence Tests
  118. Урок 118. 00:01:36
    Exercise: Create Your Own Test Prompt (Totem)
  119. Урок 119. 00:02:38
    Introduction to LMStudio
  120. Урок 120. 00:02:52
    Setting Up Your Own Model - Part 1
  121. Урок 121. 00:09:39
    Setting Up Your Own Model - Part 2
  122. Урок 122. 00:01:07
    Introduction
  123. Урок 123. 00:10:51
    Auto-Priming
  124. Урок 124. 00:18:17
    Chain of Density Prompting
  125. Урок 125. 00:07:14
    Prompt Variables
  126. Урок 126. 00:08:39
    Prompt Chaining
  127. Урок 127. 00:17:41
    Prompt Chaining - Programmatic Visualization
  128. Урок 128. 00:22:34
    Exercise: Prompt Chaining - Customer Support
  129. Урок 129. 00:09:58
    Thinking Like LLMs - Dark Magic
  130. Урок 130. 00:09:18
    XML Tags - There's More Than Meets The Eye!
  131. Урок 131. 00:18:37
    Emotional Stimuli - Part 1
  132. Урок 132. 00:04:43
    Emotional Stimuli - Part 2
  133. Урок 133. 00:07:18
    Emotional Stimuli - Part 3 (But Why?)
  134. Урок 134. 00:13:45
    Self-Consistency
  135. Урок 135. 00:21:35
    ReAct Prompting
  136. Урок 136. 00:16:48
    ReAct + CoT-SC
  137. Урок 137. 00:13:41
    Applied Prompt Engineering with CRISPR - Part 1
  138. Урок 138. 00:14:53
    Applied Prompt Engineering with CRISPR - Part 2
  139. Урок 139. 00:14:57
    Tree of Thoughts - Part 1
  140. Урок 140. 00:04:57
    Tree of Thoughts - Part 2
  141. Урок 141. 00:11:34
    Tree of Thoughts - Part 3 (ToT via Code)
  142. Урок 142. 00:22:12
    Tree of Thoughts - Part 4 (ToT via Chaining)
  143. Урок 143. 00:12:27
    Tree of Thoughts - Part 5 ("Zero Shot" ToT)
  144. Урок 144. 00:08:33
    Introduction to Prompt Testing
  145. Урок 145. 00:04:33
    The Importance of Prompt Testing
  146. Урок 146. 00:19:18
    Thinking Like LLMs - Schrodinger's Prompt
  147. Урок 147. 00:16:50
    Building a Prompt Test
  148. Урок 148. 00:07:01
    The Golden Answer
  149. Урок 149. 00:11:29
    Model Benchmarks
  150. Урок 150. 00:14:20
    Deep Dive: MMLU Benchmark
  151. Урок 151. 00:04:32
    Prompt Tests vs. Model Benchmarks?
  152. Урок 152. 00:18:11
    The Latest: MMLU Pro
  153. Урок 153. 00:07:04
    Evaluating Results - Human Judge
  154. Урок 154. 00:11:24
    Evaluating Results - Code Judge
  155. Урок 155. 00:22:07
    Evaluating Results - AI Judge
  156. Урок 156. 00:22:12
    Deep Dive: LLMs as a Judge - Biases
  157. Урок 157. 00:13:02
    Deep Dive: LLMs as a Judge - Prompts
  158. Урок 158. 00:11:47
    Thinking Like LLMs - Ex Post Facto Reasoning
  159. Урок 159. 00:06:02
    Here. We. Go!
  160. Урок 160. 00:06:11
    Introduction to PromptFoo
  161. Урок 161. 00:04:46
    Our Prompt Testing Framework
  162. Урок 162. 00:23:10
    Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Setup
  163. Урок 163. 00:10:21
    Our 1st Prompt Test (Adding Prompts, Metrics + Human Judge) - The Results
  164. Урок 164. 00:11:41
    Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Setup
  165. Урок 165. 00:07:39
    Our 2nd Prompt Test (Adding New Prompts + Code Judge) - The Results
  166. Урок 166. 00:25:37
    Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Setup
  167. Урок 167. 00:08:22
    Our 3rd Prompt Test (Adding 152 Test Cases + AI Judge) - The Results
  168. Урок 168. 00:25:59
    Our 4th Prompt Test (Adding Multiple Models) - The Setup
  169. Урок 169. 00:13:12
    Our 4th Prompt Test (Adding Multiple Models) - The Results
  170. Урок 170. 00:24:32
    Our 5th Prompt Test (Adding System Messages) - The Setup
  171. Урок 171. 00:12:23
    Our 5th Prompt Test (Adding System Messages) - The Results
  172. Урок 172. 00:04:26
    Do You Realize What Just Happened?
  173. Урок 173. 00:08:41
    Introduction - Through The Looking Glass...
  174. Урок 174. 00:07:34
    Applied Prompt Engineering with The Turing Test
  175. Урок 175. 00:13:25
    Mechanistic Interpretability - Part 1
  176. Урок 176. 00:21:00
    Mechanistic Interpretability - Part 2
  177. Урок 177. 00:12:56
    Scaling Laws - Model Size
  178. Урок 178. 00:08:05
    Scaling Laws - Dataset Size
  179. Урок 179. 00:11:50
    Scaling Laws - Training Compute
  180. Урок 180. 00:01:18
    Thank You!
  181. Урок 181. 00:02:24
    Setup Demo: Getting Your API Key
  182. Урок 182. 00:01:04
    Setup Demo: Downloading AutoGPT
  183. Урок 183. 00:03:27
    Setup Demo: Installing Docker
  184. Урок 184. 00:03:26
    Launching Your Autonomous Agent - Part 1
  185. Урок 185. 00:01:22
    Launching Your Autonomous Agent - Part 2
  186. Урок 186. 00:04:52
    It's Aliiiiiive! Running Your Autonomous Agent
  187. Урок 187. 00:16:18
    Task 1: Hello World - Your First Website
  188. Урок 188. 00:08:41
    Task 2: Python Program - Palindrome Checker