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| Archived
files |
|
Chapter_6-OpenAI_API\61. Section Overview.mp4
[e99d1dff88119418]
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3,789,228 |
16345E3F |
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Chapter_6-OpenAI_API\62. ChatGPT (101).mp4
[da7f219359c3f2bc]
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38,985,044 |
317CDBD8 |
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Chapter_6-OpenAI_API\63. OpenAI API (101).mp4
[65aca2e4ffd2eae2]
|
40,198,441 |
039B9085 |
|
Chapter_6-OpenAI_API\64. Get your API Key (Coding).mp4
[94ddf048276b1128]
|
19,632,940 |
E26B3050 |
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Chapter_6-OpenAI_API\65. Python Package (101).mp4
[d7ce00f080e1f9f3]
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17,336,925 |
2F1CC285 |
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Chapter_6-OpenAI_API\66. Python Package (Coding).mp4
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15,587,165 |
C5C22F5A |
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Chapter_6-OpenAI_API\67. Rest APIs (101).mp4
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23,365,752 |
B750765B |
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Chapter_6-OpenAI_API\68. OpenAI WebUI (Coding).mp4
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19,474,150 |
4E1DED72 |
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Chapter_6-OpenAI_API\69. Cost (101).mp4
[b6aa5a17613009a7]
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7,640,846 |
A6C58BF5 |
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Chapter_7-Prompt_Engineering\70. Prompt Engineering (101).mp4
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33,307,056 |
DC3FBE93 |
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Chapter_7-Prompt_Engineering\71. Clear Instructions (Coding).mp4
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24,076,752 |
74292BDC |
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Chapter_7-Prompt_Engineering\72. Personas (Coding).mp4
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18,213,141 |
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Chapter_7-Prompt_Engineering\73. Delimiters (Coding).mp4
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9,738,007 |
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Chapter_7-Prompt_Engineering\74. Divide into sub-tasks (Coding).mp4
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14,008,394 |
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Chapter_7-Prompt_Engineering\75. Provide Examples (Coding).mp4
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11,831,942 |
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Chapter_7-Prompt_Engineering\76. Control Output (Coding).mp4
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69,114,639 |
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Chapter_8-Advanced_Prompt_Engineering\77. Advanced Prompt Engineering (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\78. Few-Shot Prompting (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\79. Chain-of-Thought (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\80. Chain-of-Thought (Example).mp4
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Chapter_8-Advanced_Prompt_Engineering\81. Chain-of-Thought (Coding).mp4
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Chapter_8-Advanced_Prompt_Engineering\82. Self-Consistency Chain-of-Thought (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\83. Self-Consistency Chain-of-Thought (Example).mp4
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Chapter_8-Advanced_Prompt_Engineering\84. Self-Consistency Chain-of-Thought (Coding).mp4
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Chapter_8-Advanced_Prompt_Engineering\85. Prompt Chaining (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\86. Prompt Chaining (Example).mp4
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Chapter_8-Advanced_Prompt_Engineering\87. Reflection (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\88. Tree-of-Thought (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\89. Self-Feedback (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\90. Self-Feedback (Example).mp4
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Chapter_8-Advanced_Prompt_Engineering\91. Self-Feedback (Coding).mp4
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Chapter_8-Advanced_Prompt_Engineering\92. Self-Critique (101).mp4
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Chapter_8-Advanced_Prompt_Engineering\93. Self-Critique (Coding).mp4
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Chapter_9-Retrieval_Augmented_Generation_(RAG)\94. RAG (101).mp4
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18,329,043 |
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Chapter_9-Retrieval_Augmented_Generation_(RAG)\95. RAG Coding - The Final Result.mp4
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16,671,555 |
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Chapter_9-Retrieval_Augmented_Generation_(RAG)\96. RAG Handling Vector DB (Coding).mp4
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Chapter_9-Retrieval_Augmented_Generation_(RAG)\97. RAG Handling LLM (Coding).mp4
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43,829,591 |
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Chapter_9-Retrieval_Augmented_Generation_(RAG)\98. RAG Putting all together (Coding).mp4
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66,156,293 |
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Chapter_10-Capstone_Project_Chatbot\100. Webapp Climate Change Chatbot Data Prep (Coding).mp4
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198,092,118 |
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Chapter_10-Capstone_Project_Chatbot\101. Webapp Climate Change Chatbot Vector DB (Coding).mp4
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50,133,132 |
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Chapter_10-Capstone_Project_Chatbot\102. Webapp Climate Change Chatbot RAG (Coding).mp4
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91,701,577 |
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Chapter_10-Capstone_Project_Chatbot\103. Webapp Climate Change Chatbot Webapp (Coding).mp4
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109,765,212 |
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Chapter_10-Capstone_Project_Chatbot\99. Webapp Climate Change Chatbot (101).mp4
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12,077,100 |
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Chapter_11-Open_Source_LLMs\104. Open Source LLMs (101).mp4
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54,322,383 |
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Chapter_11-Open_Source_LLMs\105. Open Source LLMs (Coding).mp4
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71,425,861 |
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Chapter_12-Data_Augmentation\106. Data Augmentation (101).mp4
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32,626,479 |
778C5D3C |
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Chapter_12-Data_Augmentation\107. Data Augmentation Back-Translation (Coding).mp4
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52,031,785 |
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Chapter_12-Data_Augmentation\108. Data Augmentation Replacement with Synonyms (Coding).mp4
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15,224,079 |
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Chapter_12-Data_Augmentation\109. Data Augmentation Random Cropping (Coding).mp4
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Chapter_12-Data_Augmentation\110. Data Augmentation Contextual Augmentation (Coding).mp4
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Chapter_12-Data_Augmentation\111. Data Augmentation Word Embeddings (Coding).mp4
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Chapter_12-Data_Augmentation\112. Data Augmentation Fill-Mask (Coding).mp4
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15,642,072 |
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Chapter_13-Miscellanious\113. Claude (101).mp4
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45,762,607 |
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Chapter_13-Miscellanious\114. Claude (Coding).mp4
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66,169,268 |
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Chapter_13-Miscellanious\115. LLM-Functions (101).mp4
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40,253,330 |
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Chapter_13-Miscellanious\116. LLM-Functions (Coding).mp4
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112,181,727 |
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Chapter_14-Final_Section\118. Closing Remarks.mp4
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Chapter_1-Couse_Introduction\1. Course Scope (101).mp4
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Chapter_1-Couse_Introduction\2. Who am I.mp4
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Chapter_1-Couse_Introduction\3. How to work with The course (101).mp4
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18,249,711 |
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Chapter_1-Couse_Introduction\4. How to get the material (Coding).mp4
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Chapter_1-Couse_Introduction\6. System Setup (101).mp4
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Chapter_1-Couse_Introduction\7. System Setup (Coding).mp4
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Chapter_2-NLP_Introduction\10. Word Embeddings (101).mp4
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Chapter_2-NLP_Introduction\11. Sentiment OHE Coding Intro.mp4
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Chapter_2-NLP_Introduction\12. Sentiment OHE (Coding).mp4
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Chapter_2-NLP_Introduction\13. Word Embeddings with NN (101).mp4
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Chapter_2-NLP_Introduction\14. GloVe Get Word Embedding (Coding).mp4
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Chapter_2-NLP_Introduction\15. GloVe Find closest words (Coding).mp4
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Chapter_2-NLP_Introduction\16. GloVe Word Analogy (Coding).mp4
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Chapter_2-NLP_Introduction\17. GloVe Word Cluster (101).mp4
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Chapter_2-NLP_Introduction\18. GloVe Word (Coding).mp4
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Chapter_2-NLP_Introduction\19. Sentiment with Embedding (101).mp4
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Chapter_2-NLP_Introduction\20. Sentiment with Embedding (Coding).mp4
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Chapter_2-NLP_Introduction\21. Transformers (101).mp4
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Chapter_2-NLP_Introduction\8. Section Overview.mp4
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Chapter_2-NLP_Introduction\9. NLP (101).mp4
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\22. Section Overview.mp4
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\23. Huggingface (101).mp4
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\24. Pipelines General Use (101).mp4
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\25. Text Classification (101).mp4
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\34. Translation (Coding).mp4
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|
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149CF6FA |
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\35. Fill-Mask (101).mp4
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5,326,971 |
4C8D39AB |
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\36. Fill-Mask (Coding).mp4
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|
9,816,404 |
770800F7 |
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\37. Zero-Shot Text Classification (101).mp4
[6258ba9c27f23f55]
|
40,484,850 |
8615D773 |
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models\38. Zero-Shot Text Classification (Coding).mp4
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105,244,617 |
1AC05C00 |
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Chapter_4-Model_Finetuning\39. Section Overview.mp4
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11,643,454 |
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Chapter_4-Model_Finetuning\40. Simple Model (101).mp4
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29,986,252 |
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Chapter_4-Model_Finetuning\41. Exploratory Data Analysis (Coding).mp4
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58,512,669 |
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Chapter_4-Model_Finetuning\42. Simple Model (Coding).mp4
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130,210,375 |
265ED1E4 |
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Chapter_4-Model_Finetuning\43. Finetuning Model (101).mp4
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20,789,390 |
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Chapter_4-Model_Finetuning\44. Huggingface Trainer (101).mp4
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Chapter_4-Model_Finetuning\45. Finetuning Model (Coding).mp4
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99,409,207 |
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Chapter_4-Model_Finetuning\46. Saving Model to huggingface Loading Model (Coding).mp4
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40,604,173 |
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Chapter_5-Vector_Databases\47. Vector Databases (101).mp4
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|
40,560,464 |
1EE92920 |
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Chapter_5-Vector_Databases\48. Tokenization (101).mp4
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|
14,616,441 |
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Chapter_5-Vector_Databases\49. Tokenization (Practical).mp4
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Chapter_5-Vector_Databases\50. Tokenization (Coding).mp4
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69,094,847 |
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Chapter_5-Vector_Databases\51. Bible Vector DB - The Full Picture.mp4
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|
3,557,310 |
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Chapter_5-Vector_Databases\52. Bible Vector DB - Data Prep (Coding).mp4
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100,223,329 |
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Chapter_5-Vector_Databases\53. Bible Vector DB - Database Handling (Coding).mp4
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|
91,131,211 |
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Chapter_5-Vector_Databases\54. Exercise Movies Vector DB.mp4
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|
16,354,051 |
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Chapter_5-Vector_Databases\55. Solution Movies Vector DB - Data Prep (Coding).mp4
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Chapter_5-Vector_Databases\56. Solution Movies Vector DB - DB-Setup (Coding).mp4
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Chapter_5-Vector_Databases\57. Solution Movies Vector DB - Query Function (Coding).mp4
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Chapter_5-Vector_Databases\58. Multimodal Vector DB (101).mp4
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Chapter_5-Vector_Databases\59. Multimodal Vector DB Setup (Coding).mp4
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Chapter_5-Vector_Databases\60. Multimodal Vector DB Query (Coding).mp4
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Chapter_7-Prompt_Engineering |
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Chapter_8-Advanced_Prompt_Engineering |
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Chapter_9-Retrieval_Augmented_Generation_(RAG) |
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Chapter_10-Capstone_Project_Chatbot |
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Chapter_11-Open_Source_LLMs |
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Chapter_12-Data_Augmentation |
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Chapter_13-Miscellanious |
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Chapter_14-Final_Section |
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Chapter_1-Couse_Introduction |
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Chapter_2-NLP_Introduction |
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Chapter_3-Apply_Huggingface_for_Pre_Trained_Models |
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Chapter_5-Vector_Databases |
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