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  1. Урок 1. 00:02:01
    001 What is the AI SDK_
  2. Урок 2. 00:02:27
    002 How To Take This Course
  3. Урок 3. 00:01:51
    003 Choosing Your Model
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    004 Generating Text
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    005 Generating Text Solution
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    006 Streaming Text To The Terminal
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    007 Stream Text to Terminal Solution
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    008 UI Message Streams
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    009 Streaming To A UI
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    010 Stream Text to UI Solution
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    011 System Prompts
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    012 Passing Images and Files
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    013 Passing Images and Files Solution
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    014 Streaming Objects
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    015 Streaming Objects Solution
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    016 Tokens
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    017 Tracking Token Usage
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    018 Usage Solution
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    019 Representing Data As Tokens
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    020 Context Window
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    021 Prompt Caching
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    022 Calling Tools
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    023 Tool Calling Solution
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    024 Message Parts
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    025 Showing Tools in the Frontend
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    026 Showing Tools in the Frontend Solution
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    027 Calling MCP Servers via stdio
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    028 MCP via stdio Solution
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    029 Calling MCP Servers via HTTP
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    030 Waiting For Streams To Finish
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    031 Passing Chat ID's To The API
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    032 Pass Chat ID to the API Solution
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    033 Persisting Chat Messages
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    034 Persistence Solution
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    035 Persisting Messages In Postgres
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    036 The Template
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    037 Basic Prompting
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    038 Basic Prompting Solution
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    039 Exemplars
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    040 Exemplars Solution
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    041 Retrieval
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    042 Retrieval Solution
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    043 Chain of Thought
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    044 Chain of Thought Solution
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    045 Evalite Basics
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    046 Evalite Basics Solution
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    047 Deterministic Evals
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    048 Deterministic Eval Solution
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    049 LLM-as-a-judge Evals
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    050 LLM as a Judge Solution
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    051 Dataset Management
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    052 Chat Title Generation
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    053 Chat Title Generation Solution
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    054 How Do I Know My Dataset Is Good_
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    055 Langfuse Basics
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    056 Langfuse Basics Solution
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    057 Custom Data Parts
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    058 Custom Data Parts Solution
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    059 Streaming Objects To Custom Data Parts
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    060 Custom Data Parts with Stream Object Solution
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    061 Message Metadata
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    062 Message Metadata Solution
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    063 Error Handling
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    064 Error Handling Solution
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    065 Building A Workflow
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    066 Workflow Solution
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    067 Streaming Custom Data to the Frontend
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    068 Streaming Custom Data to the Frontend Solution
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    069 Creating Your Own Loop
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    070 Creating Your Own Loop Solution
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    071 Breaking the Loop Early
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    072 Breaking the Loop Early Solution
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    073 Guardrails
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    074 Guardrails Solution
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    075 Model Router
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    076 Model Router Solution
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    077 Comparing Multiple Outputs
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    078 Comparing Multiple Outputs Solution
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    079 Research Workflow
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    080 Research Workflow Solution
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    081 UI Messages vs Model Messages
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    082 Defining Tools
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    083 consumeStream
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    084 Custom Data Parts -
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    085 Streaming Custom Data Parts To The Frontend
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    086 Using ID's In Custom Data Parts
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    087 Message Metadata -
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    088 Streaming Text Parts By Hand
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    089 Start and Finish Parts