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Премиум
  1. Урок 1. 00:01:27
    1- Welcome
  2. Урок 2. 00:00:56
    2- Prerequisites
  3. Урок 3. 00:03:55
    3- What You'll Learn
  4. Урок 4. 00:00:57
    4- Setting Up Your Development Environment
  5. Урок 5. 00:00:37
    1- Introduction
  6. Урок 6. 00:04:02
    2- Rise of AI Engineering
  7. Урок 7. 00:04:23
    3- What are Large Language Models?
  8. Урок 8. 00:02:26
    4- What Can You Do With Language Models?
  9. Урок 9. 00:03:03
    5- Understanding Tokens and Context Window
  10. Урок 10. 00:03:44
    6 - Counting Tokens
  11. Урок 11. 00:05:03
    7- Choosing the Right Model
  12. Урок 12. 00:08:47
    8- Understanding Model Settings
  13. Урок 13. 00:07:36
    9- Calling Models
  14. Урок 14. 00:01:13
    1- Introduction
  15. Урок 15. 00:01:32
    2- Setting Up Bun
  16. Урок 16. 00:02:49
    3- Creating the Project Structure
  17. Урок 17. 00:06:39
    4- Creating the Backend
  18. Урок 18. 00:05:16
    5- Managing OpenAI API Key
  19. Урок 19. 00:02:46
    6- Creating the Frontend
  20. Урок 20. 00:05:14
    7- Connecting the Frontend and Backend
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    8- Running Both Apps Together
  22. Урок 22. 00:03:35
    9- Setting Up TailwindCSS
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    10- Setting Up Shadcn
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    11- Formatting Code with Prettier
  25. Урок 25. 00:06:51
    12- Automating Pre-Commit Checks with Husky
  26. Урок 26. 00:00:30
    1- Introduction
  27. Урок 27. 00:00:37
    2- Building the Backend
  28. Урок 28. 00:06:27
    2.1- Building the Chat API
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    2.2- Testing the API
  30. Урок 30. 00:06:23
    2.3- Managing Conversation State
  31. Урок 31. 00:05:49
    2.4- Input Validation
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    2.5- Error Handling
  33. Урок 33. 00:02:09
    3- Refactoring the Chat API
  34. Урок 34. 00:05:21
    3.1- Extracting Conversation Repository
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    3.2- Extracting Chat Service
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    3.3- Extracting Chat Controller
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    3.4- Extractring Routes
  38. Урок 38. 00:00:20
    4- Building the Frontend
  39. Урок 39. 00:07:29
    4.1- Building the ChatBot Component
  40. Урок 40. 00:09:24
    4.2- Handling Form Submission
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    4.3- Calling the Backend
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    4.4- Rendering the Messages
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    4.5- Styling Messages
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    4.6- Rendering Markdown Text
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    4.7- Adding a Typing Indicator
  46. Урок 46. 00:02:21
    4.8- Auto-Scrolling to the Latest Message
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    4.9- Improving Copy Behaviour
  48. Урок 48. 00:08:05
    4.10- Improving the Look and Feel
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    4.11- Handling Errors
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    5- Refactorings
  51. Урок 51. 00:03:50
    5.1- Extracting TypingIndicator Component
  52. Урок 52. 00:05:20
    5.2- Extracting ChatMessages Component
  53. Урок 53. 00:08:29
    5.3- Extracing ChatInput Component
  54. Урок 54. 00:02:37
    5.4- Recap
  55. Урок 55. 00:02:13
    1- What is Prompt Engineering
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    2- Anatomy of a Good Prompt
  57. Урок 57. 00:04:04
    3- Providing Context
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    4- Controlling the Output Format
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    5- Providing Examples
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    6- Handling Errors and Edge Cases
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    7- Reducing Hallucinations
  62. Урок 62. 00:04:07
    8- Refining Prompts
  63. Урок 63. 00:06:01
    9- Improving Chatbot Responses
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    10- Adding Sound Effects
  65. Урок 65. 00:00:51
    1- Introduction
  66. Урок 66. 00:00:27
    2- Setting Up the Database
  67. Урок 67. 00:02:23
    2.1- Setting Up MySQL
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    2.2- Setting Up Prisma
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    2.3- Defining the Prisma Schema
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    2.4- Running Migrations
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    2.5- Refining the Prisma Schema
  72. Урок 72. 00:03:29
    2.6- Populating the Database with Realistic Data
  73. Урок 73. 00:00:21
    3- Building the Backend
  74. Урок 74. 00:07:54
    3.1- Creating the API to Fetch Reviews
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    3.2- Refactoring- Separation of Concerns
  76. Урок 76. 00:05:28
    3.3- Creating an API for Summarizing Reviews
  77. Урок 77. 00:03:01
    3.4- Generating Summaries
  78. Урок 78. 00:08:50
    3.5- Refactoring- Extracting the LLM Logic
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    3.6- Refactoring- Extracting the Prompt
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    3.7- Storing the Summary
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    3.8- Handling Regeneration
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    3.9- Handling Edge Cases
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    3.10- Fetching the Summary
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    4- Building the Frontend
  85. Урок 85. 00:06:36
    4.1- Displaying Reviews
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    4.2- Displaying Star Ratings
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    4.3- Displaying Loading Skeletons
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    4.4- Handling Errors
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    4.5- Introducing Tanstack Query
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    4.6- Displaying the Summary
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    4.7- Triggering Summary Generation
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    4.8- Displaying Loading Skeletons
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    4.9- Handling Errors
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    4.10- Refactoring with Mutations
  95. Урок 95. 00:02:45
    4.11- Refactoring for Readability
  96. Урок 96. 00:05:29
    4.12- Extracting the API Layer
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    1- Introduction
  98. Урок 98. 00:01:49
    2- Why Use Open-Source Models
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    3- Finding Open-Source Models
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    4- Calling Hugging Face Models
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    5- Choosing the Right Model For the Job
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    6- Running Models Locally
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    7- Using Hugging Face Models with Ollama
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    8- Calling Ollama Models
  105. Урок 105. 00:01:20
    1- Course Wrap Up