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Matt Pocock (AIhero) – Build DeepSearch in TypeScript

Matt Pocock (AIhero) – Build DeepSearch in TypeScript
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  • lastupdatedate-icon Last Updated: 08-08-2025
  • size-icon Course Size: 3.4 GB
  • duration-icon Duration: 4.57 hour(s), 113 video(s)
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Matt Pocock (AIhero) - Build DeepSearch in TypeScript
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00-Resources
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HTML
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PROMTS
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001 What Are We Building.mp4
001 What Are We Building.mp4
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18.7 MB
002 Installation Instructions (Don
002 Installation Instructions (Don't Skip This!).mp4
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48.1 MB
003 Cursor Tips.mp4
003 Cursor Tips.mp4
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1.4 MB
004 Explore The Repo problem.mp4
004 Explore The Repo problem.mp4
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6.7 MB
005 Explore The Repo solution.mp4
005 Explore The Repo solution.mp4
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19.7 MB
006 Setting Up Postgres.mp4
006 Setting Up Postgres.mp4
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21.2 MB
007 Using Drizzle & Drizzle Studio.mp4
007 Using Drizzle & Drizzle Studio.mp4
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20.3 MB
008 Setting Up Redis.mp4
008 Setting Up Redis.mp4
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45.1 MB
009 FAQ
009 FAQ's.mp4
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15.9 MB
010 Introduction.mp4
010 Introduction.mp4
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13.1 MB
011 Choose An LLM problem.mp4
011 Choose An LLM problem.mp4
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19.8 MB
012 Choose An LLM solution.mp4
012 Choose An LLM solution.mp4
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8 MB
013 Our First Model Call problem.mp4
013 Our First Model Call problem.mp4
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9.8 MB
014 Our First Model Call solution.mp4
014 Our First Model Call solution.mp4
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12.5 MB
015 Set Up Discord Authentication problem.mp4
015 Set Up Discord Authentication problem.mp4
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29.1 MB
016 Set Up Discord Authentication solution.mp4
016 Set Up Discord Authentication solution.mp4
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14.5 MB
017 Create A Naive Agent With Serper problem.mp4
017 Create A Naive Agent With Serper problem.mp4
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51.7 MB
018 Create A Naive Agent With Serper solution.mp4
018 Create A Naive Agent With Serper solution.mp4
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15.1 MB
019 Showing Tool Calls In The Frontend problem.mp4
019 Showing Tool Calls In The Frontend problem.mp4
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56.7 MB
020 Showing Tool Calls In The Frontend solution.mp4
020 Showing Tool Calls In The Frontend solution.mp4
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14.8 MB
021 Search Grounding (optional) problem.mp4
021 Search Grounding (optional) problem.mp4
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19.3 MB
022 Search Grounding (optional) solution.mp4
022 Search Grounding (optional) solution.mp4
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31.2 MB
023 Rate Limiting (optional) problem.mp4
023 Rate Limiting (optional) problem.mp4
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30.6 MB
024 Rate Limiting (optional) solution.mp4
024 Rate Limiting (optional) solution.mp4
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29.3 MB
025 Connecting Our App To MCP Servers (optional).mp4
025 Connecting Our App To MCP Servers (optional).mp4
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25.5 MB
026 Create Database Resources For Persisting Messages problem.mp4
026 Create Database Resources For Persisting Messages problem.mp4
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47.2 MB
027 Create Database Resources For Persisting Messages solution.mp4
027 Create Database Resources For Persisting Messages solution.mp4
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18.4 MB
028 Persist Chats To The Database problem.mp4
028 Persist Chats To The Database problem.mp4
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55.3 MB
029 Persist Chats To The Database solution.mp4
029 Persist Chats To The Database solution.mp4
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15.9 MB
030 Creating New Chats In The Frontend problem.mp4
030 Creating New Chats In The Frontend problem.mp4
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34.7 MB
031 Creating New Chats In The Frontend solution.mp4
031 Creating New Chats In The Frontend solution.mp4
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12.1 MB
032 Showing The Saved Chats In The Frontend problem.mp4
032 Showing The Saved Chats In The Frontend problem.mp4
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24.4 MB
033 Showing The Saved Chats In The Frontend solution.mp4
033 Showing The Saved Chats In The Frontend solution.mp4
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19 MB
034 Fixing The
034 Fixing The 'New Chat' Button (optional) problem.mp4
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3.6 MB
035 Fixing The
035 Fixing The 'New Chat' Button (optional) solution.mp4
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22.7 MB
036 Adding
036 Adding 'use-scroll-to-bottom' (optional) problem.mp4
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8.7 MB
037 Adding
037 Adding 'use-scroll-to-bottom' (optional) solution.mp4
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27.3 MB
038 Choosing An Observability Platform.mp4
038 Choosing An Observability Platform.mp4
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37.7 MB
039 Integrating Langfuse problem.mp4
039 Integrating Langfuse problem.mp4
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31 MB
040 Integrating Langfuse solution.mp4
040 Integrating Langfuse solution.mp4
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18.2 MB
041 Passing Extra Metadata To Langfuse problem.mp4
041 Passing Extra Metadata To Langfuse problem.mp4
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34.6 MB
042 Passing Extra Metadata To Langfuse solution.mp4
042 Passing Extra Metadata To Langfuse solution.mp4
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11.9 MB
043 Adding A Scraper problem.mp4
043 Adding A Scraper problem.mp4
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59.1 MB
044 Adding A Scraper solution.mp4
044 Adding A Scraper solution.mp4
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31.6 MB
045 Making The LLM Date-Aware (optional) problem.mp4
045 Making The LLM Date-Aware (optional) problem.mp4
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19 MB
046 Making The LLM Date-Aware (optional) solution.mp4
046 Making The LLM Date-Aware (optional) solution.mp4
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10.2 MB
047 Improving Our Crawler (optional).mp4
047 Improving Our Crawler (optional).mp4
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69.7 MB
048 Reporting DB Calls To Langfuse (optional) problem.mp4
048 Reporting DB Calls To Langfuse (optional) problem.mp4
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13.6 MB
049 Reporting DB Calls To Langfuse (optional) solution.mp4
049 Reporting DB Calls To Langfuse (optional) solution.mp4
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21.5 MB
050 Initializing Evalite problem.mp4
050 Initializing Evalite problem.mp4
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31.9 MB
051 Initializing Evalite solution.mp4
051 Initializing Evalite solution.mp4
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10.3 MB
052 Choosing Our Success Criteria.mp4
052 Choosing Our Success Criteria.mp4
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105.7 MB
053 Making Our System Testable problem.mp4
053 Making Our System Testable problem.mp4
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26.8 MB
054 Making Our System Testable solution.mp4
054 Making Our System Testable solution.mp4
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17.4 MB
055 Our First Deterministic Eval problem.mp4
055 Our First Deterministic Eval problem.mp4
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40.3 MB
056 Our First Deterministic Eval solution.mp4
056 Our First Deterministic Eval solution.mp4
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20.9 MB
057 Adding A Global Rate Limiter (optional) problem.mp4
057 Adding A Global Rate Limiter (optional) problem.mp4
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28.5 MB
058 Adding A Global Rate Limiter (optional) solution.mp4
058 Adding A Global Rate Limiter (optional) solution.mp4
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34.2 MB
059 The Data Flywheel.mp4
059 The Data Flywheel.mp4
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42.1 MB
060 Our First LLM-As-A-Judge Eval problem.mp4
060 Our First LLM-As-A-Judge Eval problem.mp4
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47 MB
061 Our First LLM-As-A-Judge Eval solution.mp4
061 Our First LLM-As-A-Judge Eval solution.mp4
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25.4 MB
062 Create A Simple Dataset problem.mp4
062 Create A Simple Dataset problem.mp4
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48.2 MB
063 Create A Simple Dataset solution.mp4
063 Create A Simple Dataset solution.mp4
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59.7 MB
064 Organizing Our Dataset Into Dev, CI and Regression (optional) problem.mp4
064 Organizing Our Dataset Into Dev, CI and Regression (optional) problem.mp4
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15.8 MB
065 Organizing Our Dataset Into Dev, CI and Regression (optional) solution.mp4
065 Organizing Our Dataset Into Dev, CI and Regression (optional) solution.mp4
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9 MB
066 Assessing Answer Relevancy (optional) problem.mp4
066 Assessing Answer Relevancy (optional) problem.mp4
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13.5 MB
067 Assessing Answer Relevancy (optional) solution.mp4
067 Assessing Answer Relevancy (optional) solution.mp4
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16 MB
068 Extracting The Parameters Of Our System (optional) problem.mp4
068 Extracting The Parameters Of Our System (optional) problem.mp4
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16.7 MB
069 Extracting The Parameters Of Our System (optional) solution.mp4
069 Extracting The Parameters Of Our System (optional) solution.mp4
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23.5 MB
070 What
070 What's Wrong With Our Current Approach_.mp4
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28.5 MB
071 Designing Our New System Prompt problem.mp4
071 Designing Our New System Prompt problem.mp4
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13.5 MB
071.1 Designing Our New System Prompt problem.mp4
071.1 Designing Our New System Prompt problem.mp4
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28.5 MB
072 Designing Our New System Prompt solution.mp4
072 Designing Our New System Prompt solution.mp4
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2.7 MB
073 Creating a Next Action Picker problem.mp4
073 Creating a Next Action Picker problem.mp4
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7.1 MB
074 Creating a Next Action Picker solution.mp4
074 Creating a Next Action Picker solution.mp4
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11.8 MB
075 Implementing The Loop solution.mp4
075 Implementing The Loop solution.mp4
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9.3 MB
076 Connecting Our Loop To The Frontend problem.mp4
076 Connecting Our Loop To The Frontend problem.mp4
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30.1 MB
077 Connecting Our Loop To The Frontend solution.mp4
077 Connecting Our Loop To The Frontend solution.mp4
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11.6 MB
078 Smoothing Our Streaming (optional) problem.mp4
078 Smoothing Our Streaming (optional) problem.mp4
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19.6 MB
079 Smoothing Our Streaming (optional) solution.mp4
079 Smoothing Our Streaming (optional) solution.mp4
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16.6 MB
080 Showing The Steps Taken in The Frontend problem.mp4
080 Showing The Steps Taken in The Frontend problem.mp4
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39.5 MB
081 Showing The Steps Taken in The Frontend solution.mp4
081 Showing The Steps Taken in The Frontend solution.mp4
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27 MB
082 Fixing Telemetry problem.mp4
082 Fixing Telemetry problem.mp4
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2.3 MB
083 Fixing Telemetry solution.mp4
083 Fixing Telemetry solution.mp4
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21 MB
084 Passing The Message History problem.mp4
084 Passing The Message History problem.mp4
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4.1 MB
085 Passing The Message History solution.mp4
085 Passing The Message History solution.mp4
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21 MB
086 Persisting Our New Setup To The Backend problem.mp4
086 Persisting Our New Setup To The Backend problem.mp4
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7.7 MB
087 Persisting Our New Setup To The Backend solution.mp4
087 Persisting Our New Setup To The Backend solution.mp4
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40.1 MB
088 Generating Chat Titles (optional) problem.mp4
088 Generating Chat Titles (optional) problem.mp4
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13.8 MB
089 Generating Chat Titles (optional) solution.mp4
089 Generating Chat Titles (optional) solution.mp4
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20.6 MB
090 Adding Geolocation Info To The System Prompt (optional) problem.mp4
090 Adding Geolocation Info To The System Prompt (optional) problem.mp4
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7.3 MB
091 Adding Geolocation Info To The System Prompt (optional) solution.mp4
091 Adding Geolocation Info To The System Prompt (optional) solution.mp4
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27 MB
092 Agents vs Workflows.mp4
092 Agents vs Workflows.mp4
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40.2 MB
093 Collapse Search and Crawl into one tool problem.mp4
093 Collapse Search and Crawl into one tool problem.mp4
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20.9 MB
094 Collapse Search and Crawl into one tool solution.mp4
094 Collapse Search and Crawl into one tool solution.mp4
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22.3 MB
095 Search, Scrape, Summarize problem.mp4
095 Search, Scrape, Summarize problem.mp4
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21.1 MB
096 Search, Scrape, Summarize solution.mp4
096 Search, Scrape, Summarize solution.mp4
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50.1 MB
097 Making A Query Rewriter problem.mp4
097 Making A Query Rewriter problem.mp4
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73.3 MB
098 Making A Query Rewriter solution.mp4
098 Making A Query Rewriter solution.mp4
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40.7 MB
099 Use A Combined Search_Scrape API Instead (optional) problem.mp4
099 Use A Combined Search_Scrape API Instead (optional) problem.mp4
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15.1 MB
100 Use A Combined Search_Scrape API Instead (optional) solution.mp4
100 Use A Combined Search_Scrape API Instead (optional) solution.mp4
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22.2 MB
101 Resumable Streams (optional).mp4
101 Resumable Streams (optional).mp4
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96.5 MB
102 Building An Evaluator problem.mp4
102 Building An Evaluator problem.mp4
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35.4 MB
103 Building An Evaluator solution.mp4
103 Building An Evaluator solution.mp4
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31.8 MB
104 Showing Sources In The Frontend problem.mp4
104 Showing Sources In The Frontend problem.mp4
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8.1 MB
105 Showing Sources In The Frontend solution.mp4
105 Showing Sources In The Frontend solution.mp4
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20.4 MB
106 Implementing Guardrails (optional) problem.mp4
106 Implementing Guardrails (optional) problem.mp4
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35.1 MB
107 Implementing Guardrails (optional) solution.mp4
107 Implementing Guardrails (optional) solution.mp4
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19.6 MB
108 Implement An Ask Clarifying Questions Step (optional) problem.mp4
108 Implement An Ask Clarifying Questions Step (optional) problem.mp4
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17.8 MB
109 Implement An Ask Clarifying Questions Step (optional) solution.mp4
109 Implement An Ask Clarifying Questions Step (optional) solution.mp4
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22.3 MB
110 Showing Usage In The Frontend (optional) problem.mp4
110 Showing Usage In The Frontend (optional) problem.mp4
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13.6 MB
111 Showing Usage In The Frontend (optional) solution.mp4
111 Showing Usage In The Frontend (optional) solution.mp4
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24.4 MB
112 Migrating to AI SDK v5 (optional).mp4
112 Migrating to AI SDK v5 (optional).mp4
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297.4 MB
My Drive
Data
Matt Pocock (AIhero) - Build DeepSearch in TypeScript
00-Resources
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00-Resources.txt
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30 B
My Drive
Data
Matt Pocock (AIhero) - Build DeepSearch in TypeScript
HTML
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001 Setting Up Postgres.html
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3.8 MB
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002 Using Drizzle & Drizzle Studio.html
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3.2 MB
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003 Setting Up Redis.html
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2.5 MB
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004 FAQ's.html
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1.6 MB
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005 Introduction.html
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1.6 MB
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006 Choose An LLM.html
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1.7 MB
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007 Choose An LLM (1).html
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3.6 MB
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008 Our First Model Call.html
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1.7 MB
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009 Our First Model Call (1).html
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3 MB
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010 Set Up Discord Authentication.html
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1.6 MB
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011 Set Up Discord Authentication (1).html
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3.3 MB
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012 Create A Naive Agent With Serper.html
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1.6 MB
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013 Create A Naive Agent With Serper (1).html
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3.4 MB
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014 Showing Tool Calls In The Frontend.html
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1.7 MB
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015 Showing Tool Calls In The Frontend (1).html
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2.1 MB
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016 Search Grounding (optional).html
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1.7 MB
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017 Search Grounding (optional) (1).html
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12.8 MB
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018 Rate Limiting (optional).html
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1.6 MB
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019 Rate Limiting (optional) (1).html
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4.1 MB
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020 Rate Limiting Anonymous Users (optional).html
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1.4 MB
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021 Connecting Our App To MCP Servers (optional).html
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1.6 MB
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022 Create Database Resources For Persisting Messages.html
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1.7 MB
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023 Create Database Resources For Persisting Messages (1).html
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2 MB
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024 Persist Chats To The Database.html
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1.7 MB
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025 Persist Chats To The Database (1).html
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1.9 MB
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026 Creating New Chats In The Frontend.html
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1.7 MB
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027 Creating New Chats In The Frontend (1).html
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3.9 MB
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028 Showing The Saved Chats In The Frontend.html
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1.6 MB
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029 Showing The Saved Chats In The Frontend (1).html
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1.7 MB
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030 Fixing The 'New Chat' Button (optional).html
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1.7 MB
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031 Fixing The 'New Chat' Button (optional) (1).html
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1.7 MB
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032 Adding 'use-scroll-to-bottom' (optional).html
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1.7 MB
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033 Adding 'use-scroll-to-bottom' (optional) (1).html
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1.7 MB
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034 Choosing An Observability Platform.html
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1.7 MB
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035 Integrating Langfuse.html
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1.7 MB
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036 Integrating Langfuse (1).html
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3.6 MB
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037 Passing Extra Metadata To Langfuse.html
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1.7 MB
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038 Passing Extra Metadata To Langfuse (1).html
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4 MB
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039 Adding A Scraper.html
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1.7 MB
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040 Adding A Scraper (1).html
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4.6 MB
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041 Making The LLM Date-Aware (optional).html
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1.6 MB
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042 Making The LLM Date-Aware (optional) (1).html
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4 MB
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043 Improving Our Crawler (optional).html
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1.7 MB
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044 Reporting DB Calls To Langfuse (optional).html
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1.6 MB
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045 Reporting DB Calls To Langfuse (optional) (1).html
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2.5 MB
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046 Initializing Evalite.html
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1.6 MB
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047 Initializing Evalite (1).html
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2.3 MB
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048 Choosing Our Success Criteria.html
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1.6 MB
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049 Making Our System Testable.html
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1.7 MB
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050 Making Our System Testable (1).html
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2.6 MB
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051 Our First Deterministic Eval.html
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1.6 MB
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052 Our First Deterministic Eval (1).html
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2.7 MB
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053 Adding A Global Rate Limiter (optional).html
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1.7 MB
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054 Adding A Global Rate Limiter (optional) (1).html
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2.5 MB
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055 Optimizing Our Prompt (optional).html
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1.4 MB
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056 The Data Flywheel.html
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1.7 MB
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057 Our First LLM-As-A-Judge Eval.html
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1.7 MB
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058 Our First LLM-As-A-Judge Eval (1).html
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2.4 MB
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059 Create A Simple Dataset.html
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1.6 MB
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060 Create A Simple Dataset (1).html
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2.8 MB
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061 Organizing Our Dataset Into Dev, CI and Regression (optional).html
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1.7 MB
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062 Organizing Our Dataset Into Dev, CI and Regression (optional) (1).html
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5.4 MB
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063 Assessing Answer Relevancy (optional).html
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1.7 MB
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064 Assessing Answer Relevancy (optional) (1).html
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3.1 MB
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065 Extracting The Parameters Of Our System (optional).html
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1.7 MB
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066 Extracting The Parameters Of Our System (optional) (1).html
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3 MB
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067 What's Wrong With Our Current Approach？.html
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1.7 MB
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068 Designing Our New System Prompt.html
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1.9 MB
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069 Designing Our New System Prompt (1).html
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2.1 MB
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070 Creating a Next Action Picker.html
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1.7 MB
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071 Creating a Next Action Picker (1).html
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2.7 MB
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072 Implementing The Loop.html
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1.5 MB
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073 Implementing The Loop (1).html
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2.2 MB
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074 Connecting Our Loop To The Frontend.html
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1.7 MB
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075 Connecting Our Loop To The Frontend (1).html
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1.7 MB
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076 Optimize Our Answering System Prompt With Exemplars (optional).html
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1.5 MB
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077 Smoothing Our Streaming (optional).html
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1.7 MB
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078 Smoothing Our Streaming (optional) (1).html
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2.6 MB
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079 Showing The Steps Taken in The Frontend.html
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Unlock the Way forward for AI Improvement: Build DeepSearch in TypeScript

Within the quickly evolving world of expertise, staying forward means empowering your self with the correct expertise to construct refined AI functions that lean past floor-stage implementations. Meet “Build DeepSearch in TypeScript,” a pioneering course by AI knowledgeable Matt Pocock, higher often known as AIhero. This complete course gives you a one-of-a-form alternative to dive deep into the fascinating world of AI-pushed functions utilizing TypeScript, enhancing your profession prospects and positioning you as a key participant in the tech trade.

The course kicks off by providing a broad perspective on the important variations between proof-of-idea AI setups and totally developed, manufacturing-prepared functions. This understanding is significant, as rudimentary chat responses may match for demonstrations however fall brief in dwell environments the place exact, context-conscious outputs are the gold commonplace. Have interaction in a transformative studying journey geared toward equipping you with the information to implement sturdy backend infrastructures. You will delve into database administration, caching methods, and authentication processes tailor-made particularly for AI functions.

As you progress via the course, you will end up immersed in meticulously designed modules that tackle the challenges of debugging AI processes and making certain constant consumer experiences. Constructing a seamless interface requires readability on how AI choices are made inside their “black field,” particularly when orchestrating a number of instruments in unison. Every module is designed not solely to impart theoretical information but in addition to supply actual-world, palms-on expertise. By reaching this steadiness, you study to take care of chat persistence, dependable knowledge routing, and actual-time consumer interface updatesβ€”components essential for any skilled AI software.

The course is thoughtfully structured into digestible modules, making it each expansive and approachable for learners at various ranges of expertise. Right here’s a sneak peek of what you’ll study:

  • 000-Assets: Entry important assets to help your journey.
  • 001-010: Acquire insights into your venture imaginative and prescient, set up the required instruments, and discover the preliminary setup.
  • 011-020: Dive into constructing a foundational AI mannequin, full with LLM integration and Discord authentication setup.
  • 021-040: Improve your software with superior integrations and observability instruments to take care of app efficiency and reliability.
  • 041-060: Grasp the significance of evaluating AI efficiency and implementing systematic testing frameworks.
  • 061-080: Grasp the artwork of knowledge administration and system optimization for unparalleled operational excellence.
  • 081-100: Build advanced querying methods and streamline your venture for consumer’s wants via sensible functions.
  • 101-112: Strengthen your toolkit with superior AI methods, together with knowledge scraping, question rewriting, and SDK migrations.

With the course’s curriculum extending over 100 modules, every session is strategically designed to construct on the final, fostering a structured and cohesive talent-constructing course of. The detailed directions and sensible workouts be certain that learners will not be simply passive observers however lively individuals in crafting an AI resolution from the bottom up.

Enhancing your experience in AI software builds with this course doesn’t simply present theoretical understandingsβ€”it’s an invite to turn out to be a creator of subsequent-era expertise options, related to at this time’s refined trade calls for. Upon completion, not solely will you possess strong technical know-how, however you should have additionally cultivated an revolutionary mindset able to overcoming any improvement hurdles. The course culminates with you having developed a totally useful DeepSearch software, ready to deploy your newly acquired experience in any skilled setting you select.

Enroll now in “Build DeepSearch in TypeScript” for a restricted-time discounted worth of simply $29. That is greater than a studying expertiseβ€”it’s a gateway to future-proofing your profession with slicing-edge expertise in AI improvement. Don’t miss the chance to study from an trade chief like Matt Pocock, and to cement your profession in the ever-thriving area of AI. Safe your spot at this time earlier than time runs out. Let your legacy in AI innovation start right here.

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