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  1. Урок 1. 00:01:27
    1- Welcome
  2. Урок 2. 00:00:56
    2- Prerequisites
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    3- What You'll Learn
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    4- Setting Up Your Development Environment
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    1- Introduction
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    2- Rise of AI Engineering
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    3- What are Large Language Models?
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    4- What Can You Do With Language Models?
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    5- Understanding Tokens and Context Window
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    6 - Counting Tokens
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    7- Choosing the Right Model
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    8- Understanding Model Settings
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    9- Calling Models
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    1- Introduction
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    2- Setting Up Bun
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    3- Creating the Project Structure
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    4- Creating the Backend
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    5- Managing OpenAI API Key
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    6- Creating the Frontend
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    7- Connecting the Frontend and Backend
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    8- Running Both Apps Together
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    9- Setting Up TailwindCSS
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    10- Setting Up Shadcn
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    11- Formatting Code with Prettier
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    12- Automating Pre-Commit Checks with Husky
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    1- Introduction
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    2- Building the Backend
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    2.1- Building the Chat API
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    2.2- Testing the API
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    2.3- Managing Conversation State
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    2.4- Input Validation
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    2.5- Error Handling
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    3- Refactoring the Chat API
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    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
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    4- Building the Frontend
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    4.1- Building the ChatBot Component
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    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
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    4.8- Auto-Scrolling to the Latest Message
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    4.9- Improving Copy Behaviour
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    4.10- Improving the Look and Feel
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    4.11- Handling Errors
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    5- Refactorings
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    5.1- Extracting TypingIndicator Component
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    5.2- Extracting ChatMessages Component
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    5.3- Extracing ChatInput Component
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    5.4- Recap
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    1- What is Prompt Engineering
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    2- Anatomy of a Good Prompt
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    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
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    8- Refining Prompts
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    9- Improving Chatbot Responses
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    10- Adding Sound Effects
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    1- Introduction
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    2- Setting Up the Database
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    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
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    2.6- Populating the Database with Realistic Data
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    3- Building the Backend
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    3.1- Creating the API to Fetch Reviews
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    3.2- Refactoring- Separation of Concerns
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    3.3- Creating an API for Summarizing Reviews
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    3.4- Generating Summaries
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    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
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    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
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    4.11- Refactoring for Readability
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    4.12- Extracting the API Layer
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    1- Introduction
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    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
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    1- Course Wrap Up