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  1. Урок 1. 00:02:32
    1 - How to take this course
  2. Урок 2. 00:02:50
    3 - Course experience
  3. Урок 3. 00:02:13
    4 - Tools setup
  4. Урок 4. 00:02:03
    6 - Overview of OpenAI APIs and services
  5. Урок 5. 00:01:33
    7 - Sectio intro
  6. Урок 6. 00:09:30
    9 - NodeJS setup and api key
  7. Урок 7. 00:03:36
    10 - Optional TypeScript setup
  8. Урок 8. 00:03:35
    11 - Understanding an API call
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    12 - OpenAI models
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    13 - Tokens
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    14 - OpenAI roles
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    15 - Other OpenAI parameters
  13. Урок 13. 00:01:36
    16 - Section intro
  14. Урок 14. 00:04:07
    17 - Project init
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    19 - Basic chat build
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    20 - Context configuration
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    21 - Optional VSCode debug
  18. Урок 18. 00:09:14
    22 - OpenAI token limit
  19. Урок 19. 00:04:34
    24 - Tool call setup
  20. Урок 20. 00:08:57
    25 - First tool call
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    26 - Tool parameters
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    27 - Practice flight assistant
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    28 - Project solution
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    29 - Section intro
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    30 - Image generation intro with DALLE
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    31 - Generating images
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    32 - Editing images
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    33 - Audio models intro
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    34 - Whisper translations and text to speech
  30. Урок 30. 00:01:03
    35 - Section intro
  31. Урок 31. 00:10:01
    36 - Embeddings presentation
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    37 - OpenAI embeddings
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    38 - Saving embeddings
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    39 - Calculating similarity
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    40 - Analizing similarities
  36. Урок 36. 00:02:00
    41 - Project recommandation sysytem
  37. Урок 37. 00:02:32
    42 - Project sollution
  38. Урок 38. 00:02:13
    43 - Section intro
  39. Урок 39. 00:03:58
    44 - Vector dbs presentation
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    45 - ChromaDB presentation
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    46 - ChromaDb installation
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    47 - ChromaDB Client
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    48 - ChromaDB Embedding function
  44. Урок 44. 00:03:46
    49 - Chat with your data App proposal
  45. Урок 45. 00:05:28
    50 - Chat app implementation
  46. Урок 46. 00:02:34
    51 - Pinecone introduction
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    52 - Pinecone indexes
  48. Урок 48. 00:11:04
    53 - Pinecone index operations
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    54 - Pinecone info app
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    55 - Section intro
  51. Урок 51. 00:05:17
    56 - What is LangChain
  52. Урок 52. 00:05:47
    57 - LangChain setup
  53. Урок 53. 00:07:13
    59 - First LangChain application
  54. Урок 54. 00:07:14
    60 - LangChain promp templates
  55. Урок 55. 00:07:37
    61 - LangChain output parsers
  56. Урок 56. 00:04:31
    62 - RAG app presentation
  57. Урок 57. 00:08:02
    63 - Basic RAG appication
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    64 - LangChain Web Loader
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    65 - LangChain PDF Loader
  60. Урок 60. 00:05:43
    66 - LangChain and ChromaDB
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    67 - Section intro
  62. Урок 62. 00:03:38
    68 - What is Huggingface
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    69 - Huggingface setup and embeddings
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    70 - Huggingface translation models
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    71 - Huggingface image generation
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    72 - Local model setup
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    73 - Local text generation and speech recognition
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    74 - Course conclussions
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    75 - Section intro
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    76 - What is TypeScript
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    77 - Installation and project init
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    78 - Compiler options
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    79 - Primary JavaScript types
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    80 - Type aliases
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    81 - Functions
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    82 - Any and unknown
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    83 - Enums
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    84 - Never
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    85 - TypeScript classes
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    86 - Access modifiers
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    87 - Interfaces
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    88 - Generics
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    89 - Special types
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    90 - Async functions
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    91 - Promises