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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,006 --> 00:00:03,005 - Agent AI can generate design ideas, 2 00:00:03,005 --> 00:00:06,007 test, and iterate towards optimization goals. 3 00:00:06,007 --> 00:00:09,007 This can be in a factory setting or a car showroom. 4 00:00:09,007 --> 00:00:13,003 Everything the agent AI does is to analyze, 5 00:00:13,003 --> 00:00:17,000 get results, reason, and present output, 6 00:00:17,000 --> 00:00:20,009 and iterate to arrive at the desired optimization. 7 00:00:20,009 --> 00:00:23,007 The fastest growing use case for GenAI 8 00:00:23,007 --> 00:00:26,008 is customer experience with intelligent chatbots, 9 00:00:26,008 --> 00:00:30,000 but this involves human interaction to make decisions 10 00:00:30,000 --> 00:00:32,001 when the chatbot makes mistakes 11 00:00:32,001 --> 00:00:33,007 or when customer gives feedback 12 00:00:33,007 --> 00:00:36,007 that can be applied to enhance their experience. 13 00:00:36,007 --> 00:00:39,008 How can an agent AI break down this task 14 00:00:39,008 --> 00:00:41,009 to enhance customer experience? 15 00:00:41,009 --> 00:00:46,001 The agent AI should first engage to get customer input. 16 00:00:46,001 --> 00:00:48,009 This could be a chat or a voice-based input. 17 00:00:48,009 --> 00:00:52,006 It should then use tools to understand the customer response 18 00:00:52,006 --> 00:00:56,005 and use reasoning to identify their complaint or feedback. 19 00:00:56,005 --> 00:00:59,002 Then it should iterate based on the right response 20 00:00:59,002 --> 00:01:00,008 to fix the customer's problem 21 00:01:00,008 --> 00:01:02,008 and arrive at the best response, 22 00:01:02,008 --> 00:01:05,004 which can be validated by a different agent 23 00:01:05,004 --> 00:01:07,004 that collects customer feedback. 24 00:01:07,004 --> 00:01:09,009 How exciting that we've arrived 25 00:01:09,009 --> 00:01:12,009 at another example of a multi-agent AI. 26 00:01:12,009 --> 00:01:15,009 I can't wait to show you how to build some real agent AI 27 00:01:15,009 --> 00:01:18,000 using a hands-on exercise. 2186